Graded Assignment-1 (Jan Term 2024) :- Visualization Critique

[Jimmi-Kr]

For the graded assignment 1, find a simple, stand-alone, static visualization and write a short critique on: How effective is it at what it aims to do? What works well and what doesn't? What could be better? (See Week 1, Part 7 lecture video for a briefing of the assignment)

Make your submission as a comment. It should contain:

• Title of the example with one image (add URL reference if it is online)
  • Short critique (could be in paragraphs or bullet points)
  • You can edit or update your comment up until the submission deadline but do not make multiple comments. If your GitHub username is not your actual name, include it in the comment/comment title.

Here are samples (sample 1,sample 2, Sample 3) of how this is to be submitted. Use examples that are not used in the samples.

[Saikat88]

https://www.reddit.com/r/NBASpurs/comments/19amfsa/were_seeing_statistical_progress/

Pros:

• It is clear and concise. The visualization is easy to understand, even for people who are not familiar with basketball statistics.
• It is visually appealing. The use of color and different sized text makes the visualization eye-catching and engaging.
• It provides a lot of information in a small space. The visualization shows the net rating, offensive efficiency, and defensive efficiency of all 30 NBA teams, as well as their record over the last 10 games.

Cons:

• The visualization does not take into account factors other than offensive and defensive efficiency, such as strength of schedule and injuries.

• It can be difficult to compare teams that are in different quadrants. The visualization groups teams into four quadrants based on their offensive and defensive efficiency. This can make it difficult to compare teams that are in different quadrants, even if they have similar net ratings.

• The data is based on the last 10 games only. This means that the visualization may not be an accurate reflection of a team's overall performance over the course of the season.

Name - Saikat Samanta (21f1003501)

[SushmitaNandy]

Visualizing Interest in Generative AI by different Countries

Source: https://www.visualcapitalist.com/cp/mapped-interest-in-generative-ai-by-country/

Effectiveness of the visualization

The effectiveness of the data visualization is intriguing and it also depends on its audiences and purpose. The accompanying text provides context about AI’s impact on art during COVID-19 lockdowns. This context enhances understanding but might be missed by viewers who focus solely on the visual elements. For experts or researchers, this visualization offers valuable insights. For a broader audience, simplifying the design and emphasizing key takeaways would enhance its effectiveness.

Pros:

• The above visualization offers a worldwide outlook on the enthusiasm for Generative AI, facilitating the comparison of interest levels across various countries.
• Numerical data is provided for each country, giving precise information on the level of interest.
• Despite being data-dense, the visualization is organized and sections are marked with much clarity.
• The visualization also contains list of top 10 countries for a quick reference for those who are interested in the most engaged countries.

Cons:

• There’s a lot of numerical data on the map, which can make it look cluttered and potentially difficult to read at a glance.
• The color gradient might not be intuitive for all viewers; it could benefit from clearer labeling or a legend.
• The variation in text size can make some information hard to read or easy to overlook.
• As this is a static image, users cannot interact with the huge amount of data being displayed for more detailed insights.

Student name & Roll : Sushmita Nandy (21f1005425)

[rt1916-IITM]

Predicting the Future of Media and Entertainment

Name: ROYCE TOMY (21F1001916)

URL - https://www.visualcapitalist.com/wp-content/uploads/2018/05/future-of-media-entertainment.html

The Visual titled "Predicting the Future of Media and Entertainment" aims to provide key highlights via a variety of graphs and charts to convey a large volume of data in a digestible format.

Positives

• The variety of representations used help cater to a broader audience.
• The dark background helps the text and visuals to standout.
• A lot of detailed information can be shared at once.

Negatives

• The amount of information can be overwhelming to some.
• The text is small and can be hard to read. It may cause important points to be overlooked by the audience.
• The color-scheme maybe challenging for some audience(diminished vision, color-blind, etc.).

Potential Improvements

• Given the limited space resulting from the condensed information, it is advisable to present textual data in a bulleted format rather than a paragraphical one for enhanced clarity and efficient communication.
• Considering the space constraints, it might be preferable to omit the cartoon (even though it adds aesthetic appeal to the visual) for the sake of a more streamlined presentation.
• Incorporating a key takeaways section would facilitate a swift understanding of the entire content.

[MajorHamol]

2024 Prediction Consensus

Name: Amol HATWAR <21f1000451>

Link: 2024 Prediction Consensus

The visualisation summarises predictions for 2024 by analysing over 700 articles, reports, podcasts, and interviews from a multitude of sources and serves as a "pulse" of what to expect this year.

What works well?

1. Familiar tabular format of rows and columns keeps things simple
2. Statements have been categorised into distinct topics like Economy, Technology, Markets...
3. Topics have a colour-coded legend
4. Every cell of the table has a unique forward-looking statement
5. Number of circles / bubbles in a cell indicate predictive power / expectation of a statement by experts

What doesn't work well?

1. Statements seem to have been littered on the table randomly
2. The unit and the nature of smaller circles / bubbles in a cell isn't known
3. When a cell is crowded and overflowing with bubbles it makes making relative comparisons based on visual density difficult
4. Mixing semantic positives and negatives in predictive statements increases cognitive load. For example, a cell with the statement "Hollywood's influence continues to wane" with a low bubble density can lead to wrong interpretations
5. Choice of colours and making bubbles in individual cells transparent may reduce accessibility, especially for the visually impaired.

What could be better?

1. Grouping and ordering of topics (alphabetically?) and statements (confidence?) could have further simplified the table
2. What do the bubbles in a cell signify? Is it the number of experts who voted, or their confidence, or even the occurrences of the statements in the corpus that was summarised? A note or a legend detailing the unit and nature of an individual bubble in a cell would have helped
3. A small panel inside every cell that mentions the number of bubbles in that particular cell could have helped, especially in crowded cells
4. The overall distribution of topics and forward-looking statements in the corpus isn't known. The summary may be riddled with sampling bias
5. A little interactivity would have helped traceability. For example, clicking bubbles to navigate to actual sources and references.

[gokulakrishnanbalaji]

Where Do the World’s Wealthiest People Live?

Name: Gokulakrishnan B (21f1006866)

source: https://www.visualcapitalist.com/charted-where-do-the-wealthiest-people-live/

What works well?

• The color coding is clear, with different colors assigned to distinct continents, facilitating easy comparisons.
• The focus of comparison is on the AREA, making it more convincing for viewers to assess size rather than length and volume.
• Labeled data enables clear identification of countries and the respective number of millionaires.
• They used circle, aligning with the two-dimensional shape of the Earth and facilitating a more intuitive connection.

What doesn't work well?

• Countries with similar areas may have different shapes, introducing ambiguity in interpreting distinct shapes as different areas.
• Countries near larger shapes (e.g., Canada near the USA) may appear smaller despite having the same area as some European countries.
• The currency unit used is Dollars, overlooking variations in the actual value of currencies. For example, 400 rupees in India hold a higher value than 5 dollars in the USA. Similarly, a person with 6 crores in India is wealthier than a millionaire in the USA in practical terms, but this visualization does not account for such differences.

What could be better?

• Ensure the use of the same shape for countries with equivalent areas to eliminate visual discrepancies.
• Enhance the representation by filling the remaining portion designated as "rest of the world" with specific South American and African countries for a more comprehensive view.

[soumyanamboo]

Map of Life Expectancy Gains From Breathing Cleaner Air

Name: Soumya V Namboodiripad (21f1004752)

Source: https://www.visualcapitalist.com/cp/map-of-life-expectancy-gains-clean-air/

The satellite-derived data from the 2023 Air Quality Life Index (AQLI) shows how exposure to particulate matter in the air can impact average life expectancy of residents in different cities. Using this data, a map visualization is created of life expectancy gains (the deeper the hue, the higher the gain) if all people around the world breathed cleaner air.

Positives:

• This map gives a simple and understandable visualization of the life expectancy gains (the deeper the hue, the higher the gain) if all people around the world breathed cleaner air.
• The color scheme used is pleasing with gradients to show emphasis of depth.
• The labelling has been properly undertaken to provide information of some cities to show the different life expectancy around the world.
• Did not clutter the map with too much information.

Negatives:

• The border between countries is not so strong, so its little bit difficult to differentiate between countries/places with similar colors.
• Not much details about the cities with medium pollution. The article shows the pollution and life expectancy gains from cleaned air for top 500 cities, which mostly contributed by South Asian countries. Not much details about other countries.
• It says there is a significant correlation between a country’s per capita GDP and their air quality, but the GDP per capita was not shown in any form in the picture.

[Manaswita06]

Life Expectancy and Income of 182 nations in the year 2015

Source of chart: https://www.gapminder.org/downloads/updated-gapminder-world-poster-2015/

This is Edward Tufte's Gapminder chart, which shows the Life Expectancy and Income of 182 nations in the year 2015. It's a powerful tool for showing trends and relationships between multiple variables, where each bubble is a country, size is the population and color is the region.

Observation from the chart: No nation with a level 4 life expectancy is very short, and no nation with a level 1 life expectancy is particularly lengthy. Most people reside on levels 2 and 3, which are in the middle. Depending on how money is spent, life expectancy varies greatly in the middle.

Pros:

• Exposes complicated trends: The chart is perfect for examining complex datasets since it may show changes in several variables over time.
• Engaging and memorable: The data is made more memorable for visitors by the animation and interactivity, which draw their attention.
• Customizable: To concentrate on particular areas of interest, users can filter and alter the data.

Cons:

• Can be deceptive: If viewers don't closely examine the scales and axes, the animation and interaction may occasionally cause them to misread the facts.
• Limited data capacity: The chart is less appropriate for complex datasets with many variables because it can only display a small number of variables at a time properly.
• Technical restrictions: On some devices, the interactivity can be sluggish or laggy, which detracts from the user experience.

Name and Roll number: Manaswita Mandal (21f1004567)

[shrikrishna97]

Microplastics impact on fish shown in pictures/Plastic Profusion

Source: https://rockcontent.com/blog/data-visualization-examples/ This data visualization example was made by National Geographic and shows all plastic waste into the oceans. An average rate of about 9 million tons of plastic is thrown in the oceans a year. Some elements such as wind and waves eventually break down ocean plastic to bits and the graphic shows how critical the situation is in some parts of the oceans.

Critique:

Pros:

• Effective Communication: The visualization successfully communicates the severity of oceanic plastic pollution through an intuitive and impactful color representation of waste density.

• Color Coding: The color gradient effectively highlights areas with higher pollution, creating a visually striking representation.

Cons:

• Unclear Legend: The visualization lacks a clear legend or key, making it challenging to interpret specific values associated with the color gradient.

• Absence of Time Series Data: To enhance depth and impact, including historical data or a time series could provide insights into the evolution of the issue over time.

• Limited Annotations: More annotations, particularly highlighting regions with the highest plastic waste density, could enhance viewer focus on critical areas.

• No Comparison Metrics: The visualization does not directly compare lengths, areas, or volumes, missing an opportunity to provide additional insights.

• No Shape Coding: The absence of shape coding limits the diversity of visual elements, relying solely on color to convey information

Name: Shri Krishna Pandey (21f1006966)

[kaushikpatriot]

Source: https://informationisbeautiful.net/visualizations/buddhism-explained-key-beliefs-samsara-nirvana-dependent-origination-enlightenment-jhanas/

What is this? This infographic attempts to explain the different states of consciousness in Buddhism. It maps the states of consciousness to the planes, the embodiment at each of those states, the experience one has and the concentration levels. From this picture one can understand the path ones efforts in spiritual practices prescribed by Buddhism can take us through.

What's good..

1. The graphic nicely separates the different states of consciousness and maps to the various attributes of being, in that state
2. The graphic also nicely tries to illustrate the embodiment using metaphors.
3. The overall path of different states of consciousness and the associated experiences is well illustrated
4. The Intersection between the state with hindrances to the 'dhyana state' illustrates ones access to concentration from being highly distracted.
5. The qualities that emerge with the higher states is also mapped well with varying colour coding.

What's not..

1. Usually, the path from lower to higher states of consciousness is seen figuratively as moving from bottom to upper states. This graphic has reversed the direction with 'lower' states being presented on the top. This could have been reversed with a pointer to guide the viewer.
2. It is not clear if each of the five hindrances map one to one to the embodiments or not. If they do, there seems to be some mismatch in mappings. It is a bit vague.
3. The plane, seems to be a hanging property of the graphic. Containing the states within planes may have been a better idea, considering the planes will directly lead to the states.
4. The absorption states are simply labelled 1st, 2nd, 3rd etc. without names. It would have been clearer to name them.
5. The qualities that emerge with higher states, seem to be retro-fitted into the graphic for coverage purposes. They are not directly relatable to the corresponding embodiment or the state of consciousness.

Name & Roll Number: Kaushik V - 21f1001083

[Astroficboy]

Name - Pranav Wankhedkar (21f1000120)

Title - Charted: 50 Years of Music Industry Revenues, by Format Link

Positives:

1. The visualization employs a thoughtful selection of color schemes, effectively distinguishing between different categories.
2. The use of an orange hue to highlight CDs draws immediate attention, emphasizing their prominence as the most successful medium for selling music.

Negatives:

1. The absence of tick labels on the Y-axis detracts from the clarity of the information presented.
2. The positioning of the X-axis in the middle of the chart creates confusion in relation to the Y-axis. It's unclear whether values below the X-axis indicate negative sales, leaving viewers with an unanswered question.
3. The circular diagram, resembling a traditional Venn diagram, may mislead readers. It suggests that CDs are the most successful medium, encompassing Ringtone, Ad-Supported Streaming, Digital License, etc. A more straightforward bar chart would have been a clearer choice to convey this message.
4. Origin of some of the categories cannot be seen behind some other categories in the 'Revenue by year' chart. A comparative line chart would have been a better choice.

[DebapriyoSaha]

Data Visualization on Top Trade Partner of MENA Region

Source: Visualizing the Top Trading Partners of MENA Countries

The above data visualization shows the top trade partners of MENA (Middle East and North Africa) region. The colorful lines is used to connect the countries that trade with each other. The thickness of the lines indicates the trade volume. It also shows some notes on the trade patterns and the role of China as a major import source

What works well:

1. It is visually attractive and engaging using different colors to distinguish between countries.
2. It shows the trade flow directions clearly and effectively, using lines to connect countries that trade with each other.
3. It provides some context and explanation for the data, such as the role of China as a major import source and the importance of petroleum in Italy’s imports.

What doesn't works well:

1. It does not provide a legend or a scale to explain the significance of thickness of the lines or color variation, which could lead to misinterpretation.
2. It can be confusing and complex to follow the overlapping lines, especially for countries that have multiple trade partners.
3. It does not show the actual values or proportions of the trade, limiting quantitative analysis and comparison.
4. The text is small and hard to read in some parts of the visualization.

What can be improved:

1. Show the actual values of trade - The data visualization does not provide any quantitative information for each trade route which limits the analysis and draw conclusion
2. Provide legend - A legend can be added which could help the user to understand the data in a better way and compare various trade routes
3. Reduce the clutter of the lines - The overlapping lines create difficulty to identify each country's top trade partners clearly. A more distinct way of representing these connections could enchance the readability.

Name: Debapriyo Saha Roll Number - 21f1004645

[TheMandalorian1]

World's Population at 8 Billion People

Name: ADITYA DHAR DWIVEDI Roll Num: 21f1001069

The visualization is a pie chart that shows the world's population at 8 billion people. The pie chart is divided into different regions, each of which is represented by a different color slice. The size of each slice corresponds to the percentage of the world's population that lives in that region.

Pros:

• The circular tree map is visually striking and grabs attention immediately. The proportionally larger areas for populous countries like China and India effectively highlight their significant share of the global population.
• The color scheme differentiates continents, making it easy to identify regions and track population distribution across them.
• Every country and region is clearly labeled with its population, allowing viewers to find and understand data for specific areas effortlessly.
• The visualization facilitates quick comparisons between populations of different countries and regions. viewers can easily grasp the relative sizes and distribution of populations across geographic areas.
• The visualization emphasizes the significant milestone of reaching 8 billion people, providing a clear and focused message for the audience.

Cons:

• The visualization doesn't include population growth rates, which are crucial for understanding how populations are changing over time.
• The lack of information on population density or socioeconomic factors limits the depth of analysis viewers can perform using this visualization.
• The unique shapes of the segments might be misinterpreted as corresponding to actual geographic sizes or borders, potentially causing confusion about the visualization's intent.
• While acknowledging rounding issues is essential, it's important to remember that this can lead to slight inaccuracies in data interpretation if viewers aren't aware.
• The visualization is a snapshot of a specific moment in time and doesn't consider future projections or historical data, limiting its usefulness for trend analysis.

[Yalinisaravanan]

Data Visualization of Plastic Waste Pollution and Management

NAME: YALINI S ROLE NUMBER: 21F1004138

Source: https://www.behance.net/gallery/106936329/Plastic-Waste-Pollution-data-visualisation

This visualization explores which countries in 2010 produced the largest amount of plastic waste and what percentage of this was inadequately managed, but more importantly how does this management correlate to the nation’s GDP per capita.

On the left side, we see the distribution of total plastic waste generation by continent, leading into segregation by country, measured in order of tones per year. This leads into the estimated total percentage of this waste that was inadequately disposed. Finally, these findings are presented with the caveat of the individual country’s GDP per capita.

Pros:

1. This visualization brings in unique parameters such as GDP per capita, providing a more nuanced and insightful perspective on the correlation between waste management and economic indicators.
2. Effectively communicates the message that inadequate waste management correlates with a decrease in GDP per capita, which can raise awareness and prompt action.
3. The color scheme used differentiates continents, it is subtle and aids in easy identification and comparison without overshadowing the data.
4. Larger waste-generating countries are easily accessible and comparable, facilitating the extraction of meaningful insights.

Cons:

1. This visualization is not so economic. It requires reading of long sentences in "Did you know?" section. It also requires time to figure out. Improvements could be made for a more concise presentation.
2. The key take away made from this visualization is zero the percentage of inadequately managed waste, higher the GDP per capita. To highlight this they have given bold font to the countries name with 0% inadequately managed waste and also highlighted the GDP per capita circle. But the bold font and highlighted circle are not visible and prominent. A change of color or different size of font or some other prominent highlighting could be made to highlight this key take away.
3. The overlapping of GDP per capita circles creates confusion, making it challenging to associate a circle with a specific country. Improvements in the arrangement or labeling of circles would enhance data clarity.
4. The absence of numerical values for GDP per capita and waste tones hinders data accessibility. Including these values could improve the viewer's understanding of the data.
5. Countries that generate less waste are mentioned using thin lines, making it difficult for viewers to locate a specific country and its GDP per capita.

[viraj19r]

The above visualization uses a unique approach, similar to an infographic, to showcase the impact and size of the largest nuclear explosions ever detonated. It features a series of explosion image examples that help visualize each explosion's scale and impact. The use of images effectively conveys the destructive power of each blast in a way that is easy to understand and remember.

Image source

Pros:

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•⁠ ⁠Visual Appeal: The visualization is visually engaging, using realistic images of nuclear explosions to represent data. •⁠ ⁠Comparative Scale: It provides a comparative scale of the explosions with notable landmarks like Mount Everest for context. •⁠ ⁠Key Information: The inclusion of key information such as the name, date, and yield of each explosion is helpful for understanding the data. •⁠ ⁠Clarity in Data Representation: The use of height lines makes it easy to compare the magnitude of different explosions visually. •⁠ ⁠Inclusion of Icons: Icons for human and geographical scales provide additional context.

Cons:

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•⁠ ⁠Cluttered Appearance: There's a lot going on in the image; it might be overwhelming or confusing at first glance. •⁠ ⁠Readability Issues: Some text elements are small and may be difficult to read, especially on smaller displays or prints. •⁠ ⁠Color Choices: The color scheme, while dramatic, might not be the best for readability and clarity. •⁠ ⁠Lack of Detailed Information: While it provides an overview, there isn’t much detailed information about each event or its global impact. •⁠ ⁠Sensitivity to Topic: The topic is sensitive; the visual representation might not convey the gravity associated with nuclear explosions.

Viraj Sharma(21f1003723)

[Purva0808]

Data Visualization of top 50 websites

https://www.maptive.com/wp-content/uploads/2022/03/bubble-chart.png

What the visualization aims to depict :

This visualization highlights the undeniable influence of internet giants like Google, YouTube, and Facebook, collectively gaining an astounding 152 billion monthly visits. Utilizing data from SimilarWeb as of November 2020, the visualization provides a comprehensive ranking of global websites, shedding light on user engagement and the evolving dynamics of the internet landscape.

What works well :

1. The chart effectively presents a clear segmentation of the top websites based on their ranks. This allows viewers to quickly understand the hierarchy and relative positions of each website within the list.

2. The chart includes clear connections between parent companies, which aids in drawing conclusions about the relationships. This can be crucial for understanding how certain companies are affiliated or part of larger corporations.

3. The inclusion of additional comments on the chart provides valuable context and supplementary information. This can be essential for interpreting the data accurately and understanding any specific nuances or factors affecting the rankings.

What doesn't work well:

1. To enhance clarity, using different colors to categorize websites based on the type of industry they cater to would have been beneficial. This would make it easier for viewers to quickly identify and associate companies with specific industries.

2. If the chart is solely based on the number of monthly visitors, it may lack a comprehensive overview of the websites. Including other essential aspects, such as revenue or market share, would provide a more holistic understanding of the company's performance.

3. To provide a more detailed analysis, using different colors to represent the country-wise and age-wise distribution of users would enhance the chart's information. This would allow viewers to discern patterns or trends based on geographical and demographic factors.

Name : Purva Sharma Roll Number : 21f1006847

[Tris-utkarsh]

Title : Budget allocation by India Government in FY-22 using donut chart.

---

Name: Utkarsh Gaurav
Roll no. :21f1001336

Source : https://www.moneycontrol.com/news/business/economy/budget-2022-in-five-easy-graphs-8022241.html

What Works well:

1. Visual Engagement : The chart is effective at capturing attention due to its visual appeal. The circular shape is intuitive for representing a whole budget.

2. Simplified Representation : For a basic overview of the budget distributio, the donut chart can effectively convey the relative proportions of different expenditure categories.

3. Proportion Display : The chart can easily show the proportion distribution of each category, helping the viewers understand the relative significance of different parts of budget.

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What doesn't work well :

1. Limited Information : The chart might not provide a nuanced view of the budget.
2. Precision Issues : Representing values in paisa on a donut chart may lead to precision issues. Viewers might struggle to interpret the exact values hence affecting the accuracy of understanding.
3. Comparison Difficulty : Comparing the sizes of segment in donut chart may be less acurate compared to other chart types, making it challenging for viewers to make informed comparisons.

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What could be better:

1. Data Labeling : To address precision, including data labels or an accompanying table can provided viewers with exact values for each expenditure category.
2. Limited Categories : Since the budget has numerous categories, using a different chart type, such as stacked bar chart or a treemap, might bemore suitable displaying a larger amount of data.
3. Interactivity : Adding interactive elements can allow users to explore the data in more detail without cluttering the initial view.
4. Clear Information Design : Ensuring that the chart is clearly labeled and the color choices are meaningful. Providing a legend or labels directly on the chart can enhance understanding.
5. Consider Audience : Asses the level of details the audience needs. If the aim is to provide a high-level overview , a donut chart may be suitable. However, for more in-depth analysis, consider using other visualisation types.

[AaryaM2609]

Source : https://i.imgur.com/IL8KASF.png

Description:

The above visualization represents "The Top 10 Most-Visited Websites Every Year Since 1995". It uses a subway map-style design to track the popularity of various websites over time. Each line represents a different website, with the line's color corresponding to the website's brand color. The timeline progresses from left to right, starting in 1995 and ending in 2023. Key internet players like AOL, Google, and Yahoo are prominently featured, with Google maintaining a dominant presence in recent years.

Critique :

Pros :

• Historical Perspective: The visualization effectively illustrates the evolution of internet popularity over nearly three decades, providing a clear historical perspective on the changing landscape of web usage.

• Brand Color Coding: Using the brand colors for each website not only makes the graph visually appealing but also aids in quick brand recognition, making it easier to follow individual website trajectories.

• Data Source Transparency: The inclusion of data sources at the bottom adds credibility and allows viewers to understand where the information is coming from, which is a good practice for data transparency.

• Icon Usage: The use of recognizable logos at the end of each line helps to anchor the viewer and clearly identify the corresponding website.

Cons:

• Complexity : The infographic's complex network of intersecting lines can be confusing and difficult to decipher, particularly when trying to trace the history of a single website.

• Overlapping Paths : The overlapping of colored lines, especially in the more crowded areas of the graph, can make it hard to distinguish between different websites.

• Potential for Misinterpretation : Without an accompanying explanation of the criteria for the rankings or the meaning of the paths' intersections, there is room for misinterpretation of the data.

• Clarity in Decline of Popularity : The visualization does not clearly show when websites fall out of the top 10 ranking. The lines simply end, which might not give an immediate understanding of a website's decline in popularity relative to others.

What can be improved:

• A legend or key explaining the meaning of line movements and intersections would be beneficial.

• Highlighting key events that describe significant events (e.g., mergers, notable service changes, etc.) that may have affected a website's popularity would add a layer of insight and context to the visualization.

Name : Aarya Motiwala Roll Number : 21f1003998

[Puravasu-Jaideep-Sesha]

Title: Every Song With Over 1 Billion Spotify Streams

Source - https://www.visualcapitalist.com/every-song-with-over-1-billion-spotify-streams/

Description

The visualization showcases Spotify's journey from its European launch in 2008 to becoming the world's leading audio streaming service with 456 million users across 183 markets. It highlights major artists' hits accumulating billions of streams and Spotify's creation of the Billions Club playlist in July 2021. The visualization arranges the playlist by decade and artist, providing insight into music streaming trends over time.

What Works

• Visually appealing.
• Annotation about milestones are given nicely.
• Top artists, albums, growing popularity insights are clean and easy to understand.
• The legend is nice and simple, but effectively explains the graphical components.

What does not work

• The colors used for showing the artists is a little dull, could be brighter.
• After the 2010s, the graphic is too cluttered with images and annotations, reducing the overall clarity.
• Some bubbles do not have any labeling, making it unclear as to what song it is that hit a billion streams.
• The meaning of bubbles with the same artist overlapping or close to each other is not given, only merged bubbles are mentioned.
• Some of the information given around the central graphic is hard to read.

Suggestions

• The color scheme can be changed to something brighter.
• The bubbles, if possible, should be modified in a way to either show the songs or combined to show artist. Multiple bubbles for songs of an artist makes it harder to understand and label.

Puravasu Jaideep Sesha 21f1000162

[kuine]

Image Link

Critique by: Shine Priyan (21f1003384)

Title: Ranking the Largest Companies by Revenue: USA vs. China

The visualization is for a comparative analysis between the top 15 firms in the US and China Markets by revenue.

What works well? • Helps identify the distribution of revenue among these companies for each country. • Names of the firms do indicate how the largest firms in the Chinese markets are owned by the State whereas the largest firms in the US markets are not state-owned, giving a hint about the different political philosophies in both countries. • Revenue figures are presented in the same currency units helping compare the firms. • Provides trivia about 2 firms to give a sense of its strength.

What does not work well? • Difficult to compare the revenue of firms at the same rank in each country although there are light gray colored rings that help in comparison but their color blends into the background. • The distortion in the bar width and placement around the circle makes it difficult to compare linearly. • Aggregate revenue of the firms could be mentioned. • Difficult to judge if the height of the bar must be measured from the center of the disc or the circumference.

What could be better? • The operating sector of each firm could be mentioned indicating top industries that generate these revenues. • The color scheme has a very strong contrast and it would be uncomfortable for someone to observe information with multiple visualizations with the same template, some lighter color schemes would have made it easier to use. • The baseline from where the bars are produced could be on a straight line allowing easier observations.

[nikhil2003272]

21f1001903 Yanamadala Sai Nikhil

Philosophy: A visual depiction of ideas

Pros:

Conceptual Representation: The visualization effectively captures a spectrum of ideas related to functionality and synthesis, providing a conceptual framework for understanding philosophical concepts. Clarity of Axes: The axes, representing the dys-functional and synthesize-loose/weak spectrums, offer a clear structure for organizing and interpreting. Visual Balance: A balanced distribution of words across quadrants contributes to visual harmony and aids in conveying a comprehensive view of the philosophical landscape. Engagement: The placement of words along the axes(as we go from left to right it becomes functional and as we move from top to bottom it becomes weak)allows viewers to engage in thoughtful reflection on the relationships between various philosophical ideas.

Cons:

Size:The size of the words may draw unwanted interest of the viewers in the first quadrant the word genius looks big and in the fourth quadrant the words are very small Color and Design Impact: If color or design elements are utilized, there's a risk of these elements overshadowing the conceptual content. It's crucial to ensure that visual enhancements do not detract. Subjectivity: The positioning of concepts along axes might reflect a subjective interpretation. It's essential to consider whether different viewers might interpret the same words differently in terms of functionality and synthesis. Limited Explanation: Without additional context or labels, the words themselves might lack sufficient explanation, making it challenging for viewers to fully grasp the intended meanings or significance of each concept.

[asswin-123]

Name: Asswin Karuppaiah PL Roll no: 21f1001419

Link: [https://www.visualcapitalist.com/charted-social-media-usage-by-u-s-teenagers/(url)

Title: Charted: Social Media Usage by U.S. Teenagers

Short Critique: The visualization effectively presents data on social media usage among U.S. teenagers. It aims to inform viewers about the popularity of various social media platforms among this demographic group.

• Positives:

  • Clear Presentation: The charts are well-labeled and easy to understand, allowing viewers to quickly grasp key trends and insights regarding social media usage.
  • Color: The color scheme chosen for this visualization is effective in conveying the information clearly and intuitively. The use of contrasting colors for different categories allows viewers to easily distinguish between them, enhancing readability and comprehension

• Negatives:

  • Lack of Context: While the charts effectively display social media usage statistics, the visualization could benefit from additional context or explanations regarding the potential implications of these trends on teenagers' behavior, mental health, and social interactions.
  • Lack of Data Granularity: The visualization provides an overview of social media usage trends but lacks granularity in certain aspects. For example, it could benefit from breaking down usage patterns by demographic factors such as age, gender, or location to provide a more comprehensive understanding of the data

• Suggestions for Improvement:

  • Interactive Elements: Incorporating interactive elements such as tooltips, clickable sections, or filters could enhance user engagement and allow viewers to interact with the data in a more dynamic way.
  • Comparative Analysis: Including comparative data or trends over time could help viewers better understand how social media usage patterns among U.S. teenagers have evolved and changed over the years.

[maniesh1]

CO2 Emissions Through Time (1950–2022)

https://www.reddit.com/media?url=https%3A%2F%2Fi.redd.it%2Fe5t4bthl9w5c1.png Manish Kumar(21f1004259)

---

Description: A comprehensive view of CO2 gas emission with the rise and fall of the contribution of world region over the year 1950 to 2022.

Critique:- Pros:

• Gives a good overview of the top CO2-emitting countries and their varying contributions over the decades.
• Good color coding based on severity for e.g. Lighter color for countries producing less CO2 comparably and red for China indicating severe as it produces the highest 11.4B Tonnes of CO2 in the latest year.
• Tried to summarize the key takeaways with some text in the empty spaces.
• One can validate the authenticity of the data from the data source mentioned.

Cons:

• Not clear is it width or the area which represents the strength of the CO2 emission.
• Biased, the image claims CO2 Emissions through time (1950–2022). But it focuses more on the latest year(2022) data as:
  • There have been separate emission weights mentioned for the year 2022 especially and it have been compared to all prior decades data.
  • Wider width for recent years, which grabs the attention easily.
• It should have been in decreasing order, starting from top CO2 emission countries to low.
• Repetitive. No need to mention horizontal rules(years) twice above and below the image.

[Ak7210]

Global Social Mobility Index (2020) Name:- Ajeet Kumar Roll no:- 21f1006807

Source

The visual graph illustrates the Global Social Mobility Index (GSMI) and the ranking of numerous highly populated countries. It also presents all the indicators used for calculating the GSMI, accompanied by their respective scores. This depiction effectively demonstrates the influence of indicators such as health, education access, education quality and equality on the GSMI.

Pros

• From my perspective, it is the best way to represent a substantial amount of information, and it is easy to visualize.
• Each category is clearly labeled and explained.
• The depiction of indicators through the circle's leaves is remarkably exceptional in its representation..
• The divisions (10 segments) in the leaves of the circle for indicating the score.
• The colour shades used in leaves clearly illustrate the distinction between lower and higher indicators values.
• It is easy to compare indicators across different countries to determine which one exhibits superior or inferior indicators in a specific field.

Cons

• On the first glance one might not be able to determine what the visualization is about.
• In the visualization, GSMI is arranged in decreasing order based on country population instead of GSMI score.
• The innermost circle's size lacks clarity in distinguishing values, and the colour choice doesn't effectively represent it.
• The visual graph lacks a clear distinction of indicator values, as it only displays the range without specifying the actual values.

Suggestions

• Arrange the countries in descending order based on GSMI values rather than their population.
• Placing the country's name below the circle, rather than above it, could enhance the visualization.
• To improve visibility and attractiveness of innermost circle, prefer slightly larger circles and colours suitable for a black background.

[VarunV2421]

US Interest Rates Forecasted Over Time

Name: VS Varun Roll: 21f1002421

Link: Reddit

Description: The white line shows the US Federal Interest Rate over time. The colored (pink and blue) offshoots indicate forecasted interest rate, sourced from barchart.com. Blue lines indicate upward sloping interest curves, red ones indicate downward sloping curves.

What it does well:

• Represents a lot of dense information is a small space, making economical use of space.
• Properly labelled axes and scale, making it easy to pinpoint data for a specific point in time.
• Effective use of colour, clearly indicating which forecasts were positive and which were negative, while leaving the observed data uncoloured (white).
• Accurate data, represented accurately. Y-axis starts at 0, and grows linearly. Does not mislead, and faithfully portrays well sourced data.
• Sources mentioned in the graphic, conveying veracity of the data.

What doesn't work so well:

• It is a dense graphic, so it takes time to fully process and understand; meanings are not immediately apparent.
• While it is not visually untidy or cluttered, the complexity of information presented all at once might cause some readers skip the graphic.
• The blue and pink lines are not labelled on the graphic itself.
• The final meaning or takeaway is not mentioned in any way, the viewer is left to draw inferences by themselves.

How it could be improved:

• Include labelling for the forecasts, both blue and pink.
• Add a summary in text or with a small visualization as part of the graphic itself, conveying a succinct message that the data shows. In this case, it could be about the poor accuracy rate of the forecasts, or how they all trend towards the long term mean.
• Fade the coloured lines of the forecasts a little bit so the observed interest rate line is more prominent, allowing viewers to first take in the simple and most important piece of data in the graphic. They can then move to the less emphasized coloured lines which are forecasts and therefore not as important. This allows the graphic to have an important surface level meaning, while also holding more information for more interested viewers to infer deeper conclusions.

[harshOpensource]

The World’s Biggest Steel Producing Nations

Name- HARSH BARDHAN Roll No: 21f1004807

Source Link - https://www.visualcapitalist.com/wp-content/uploads/2023/05/The-Worlds-Largest-Steel-Producing-Countries_May18.jpg

Short Critique

Effectiveness : The visualization effectively presents the data on global steel production by country in 2022. It highlights the dominance of China in steel production, which is more than half of the world’s total. The use of a data to present the data allows for easy comparison between countries.

Strengths

• The visualization provides a clear and concise overview of the state of global steel production.
• The use of flags next to the country names adds a visual element that aids in recognition.
• The inclusion of annual production change and global share broadly provides additional context.
• It also includes how Different countries increased their Steel Production from 1967, 1996 , 2006, 2022.

Weaknesses

• The visualization lacks information on the factors influencing the global steel production landscape. Including key drivers or trends could enhance understanding.
• To improve clarity, the annual production change and global share percentages could be presented more prominently, possibly with additional annotations or a separate section for detailed insights.
• While historical data is beneficial, a brief explanation or key events influencing the significant production changes in different years could enhance the audience's understanding.

Improvements

• Including a table alongside the graph could provide a structured representation of the data. The table might detail specific production values for each country, making it easier for viewers to extract precise information.
• While historical data is valuable, consider incorporating trends over time directly into the graph. This could involve additional lines or annotations highlighting significant events or shifts in steel production, offering a more dynamic view of industry trends.
• To improve clarity, highlight annual production change and global share percentages more prominently. This could involve a separate section, clearer labels, or additional visual cues to draw attention to these critical aspects of the data.

[Sharmaom24]

Name: Om Sharma Roll no: 21f1004424

How effective is it at what it aims to do? The image is effective at showing the dominance of the "Big 3" tennis players (Roger Federer, Rafael Nadal, and Novak Djokovic) in Grand Slam tournaments over the past 20 years. It is clear from the chart that these three players have won the majority of the tournaments in this time period.

What works well?

• The chart is clear and easy to read.
• The use of color helps to highlight the dominance of the "Big 3".
• The data is up-to-date, including the 2024 Australian Open.

What doesn't work?

• It does not show the performance of individual players. The graph only shows the total number of wins for each member of the Big 3. It would be interesting to see how each player has performed individually over the years.
• It does not take into account the different difficulty levels of the Grand Slams. Winning Wimbledon is generally considered to be more difficult than winning the Australian Open, for example. The graph does not take this into account.

What could be better?

• The chart could be made more visually appealing by using a different color scheme.
• The chart could include a legend to explain what the different colors mean.

[sarthak-iitm]

India's Rural - Urban Milk Consumption

Name : SARTHAK KHANDELWAL Roll Number : 21f1004405

The visualization is done on the map of India, where the color code depicts the consumption. Darker the shade represents higher consumption of milk in India in the year 2011-2012. Highest consumer of milk seems to be Haryana, closely followed by Punjab for Rural area whereas Rajasthan and Himanchal Pradesh joins Punjab in Urban area.

Source : http://indianexpress.com/article/explained/in-india-to-be-veg-is-to-drink-a-lot-of-milk/

Pros:

• Clear and concise: The graph is easy to understand, even for viewers with no prior knowledge of the data. The color scheme is helpful in distinguishing between rural and urban areas, and the labels are clear and well-placed.
• Effective comparison: The side-by-side bar charts allow for easy comparison of milk consumption and expenditure between rural and urban areas in each state.
• Highlights regional variations: The use of different colors for each state makes it easy to see which states have the highest and lowest levels of milk consumption and expenditure.

Cons:

• Limited data: The graph only shows data for one year (2011-2012). It would be more informative if it showed data for a longer period of time, or if it included data for other dairy products.
• Lack of context: The graph does not provide any context for the data. For example, it would be helpful to know the population of each state, or the average income levels. This would help to explain why some states have higher levels of milk consumption and expenditure than others.

[Rajkishore2904]

Analysis of Elon Musk's Tweeter Feed

Name - Rajkishore Nandi Roll no - 21f1006016

Source : https://www.visualcapitalist.com/a-decade-of-elon-musks-tweets-visualized/

Description :

The visualization compiles 15000 tweets of Elon Musk and speaks about what subjects he focusses on the most, how his twitter behavior has evolved over the years and how his tweets are correlated to his businesses and main events in his business.

Pros :

• The three variables Most frequent subject topic, Tweets per day across the year and History of important events has been accommodated so nicely in the given space.
• The color coding enhances readability and economic comprehension of the particular important points.
• The timeline plot has been very meticulously presented inside the pie chart.
• The major events taking place in the relevant companies and their relation with the timeline of the tweets has been properly articulated.

Cons :

• Areas are hard to interpret in comparison to lengths. It's difficult to compare which category out of Tesla and SpaceX had major chunk of related tweets.
• No proper justification of the color coding used which can mislead the user to connect different sentimental values to different colors in the encoding like Green for Tesla and Orange for SpaceX.
• Seeing the Y-axis in Time Plot it justifies a line plot to be used to show the Tweets per day variable but no proper reasoning of using area plot could be found out.
• Inconsistent overlapping of Red region and Green region in the 2013-2014 duration, a proper convention hasn't been followed while cross overs of two sections which can mislead the reader.

Improvements :

• Legends can be used to showcase the different proportions of Tesla and SpaceX related tweets.
• Blue color in the color coding could have been avoided as Twitter itself uses the blue color.

[anirudhssidhu]

Ransomware Attacks by Sector

Name: Anirudh Singh Siddhu Roll No: 21f1001587

A data visualization of recent and notable ~630 ransomware attacks. This visualization is aiming to present the sector affected by ransomware attack in terms of revenue. The biggest industry to be affect by it is Energy followed by Tech industry.

Source: (https://informationisbeautiful.net/visualizations/ransomware-attacks/)

Pros:

• The presented information is clear and straightforward, using circle sizes to depict the scale of the cyber attack in terms of revenue. Larger circles signify higher revenue, providing a visually effective representation of the impact of the attack.

• All industries are demarcated with distinct borders, ensuring there is no overlap among them. Additionally, a well-implemented color contrast is employed to clearly differentiate between the various industries.

• Three levels of information are being presented, with the first level representing industries, the second level featuring the giants within these industries, and the third level indicating the corresponding years.

• The names of the industry and its giants are clearly written in bold to emphasize this particular aspect of the visualization.

Cons:

• No data labeling is provided, which could offer additional information on the lost revenue and enhance the understanding of the visualization.

• No time period is mentioned; all the different years are associated with one industry's giants. This lack of clarity makes it confusing to determine if multiple attacks occurred in the same company across different years.

• There is excessive clutter in the visualization, with some circles lacking labeling, contributing to the presence of irrelevant elements in the presentation.

• There is an issue of overlapping names of industries and companies, which is not considered good practice in visualization.

• Empty circles that represent certain companies are present, but due to space constraints, no names are provided. It would be more effective to omit these circles.

• Different years are associated with companies, contributing to confusion regarding the timeline of the visualization.

Improvements:

1. Keep only those circles which could be marked or labelled, otherwise omit them.
2. The name of the industry should be written in bold outside the circle, so as to avoid overlapping.
3. A timeline should be made available outside the visualization or have some consistency in keeping the year associated with the company.

[rrohnyy02]

World's leading natural gas producers and the top importers of Russian gas, as well as the impact of sanctions on Russian gas exports

Name: Rohan Khandelwal Roll no: 21f1005976

source: https://informationisbeautiful.net/visualizations/ukraine-russian-war-infographics-data-visuals/

How effective is it at what it aims to do?

The infographic aims to show the world's leading natural gas producers and the top importers of Russian gas, as well as the impact of sanctions on Russian gas exports. It is moderately effective at doing this, but it could be improved in a few ways.

What works well?

1. The infographic is visually appealing and uses a clear color scheme.
2. The charts and graphs are easy to read and understand.
3. The text is concise and to the point.

What doesn't work well?

1. The infographic does not explain the methodology used to calculate the impact of sanctions on Russian gas exports.
2. The infographic does not consider the impact of sanctions on other countries, such as Germany, which is heavily reliant on Russian gas.

What could be better?

1. The infographic could be improved by including sources for the data.
2. The infographic could be improved by explaining the methodology used to calculate the impact of sanctions on Russian gas exports.
3. he infographic could be improved by considering the impact of sanctions on other countries.

The infographic could be improved by adding a title and a brief explanation of what it is trying to show. Overall, the infographic is a decent attempt to visualize complex data, but it could be improved by providing more context and information.

[ajith1119]

Data Visualization Society - State of the Industry Survey Review

Name: V Ajith Roll No: 21f1005919

Source: https://public.tableau.com/app/profile/penny.privett/viz/DVSSOTIFinal2/DataVisualizationSociety-StateoftheIndustry4

Description: The visualization represents Data visualization tools mostly used for visualizing the data, Types of charts used in the visualization and Platforms used for sharing the visualization.

Pros:

• Effective use of bar graphs for representing data visualization tools, types of charts, and platforms used for sharing visualizations.
• The inclusion of a percentage increase visualization from 2020 Aug to 2021 Aug below the bar graphs enhances understanding and engagement.
• Clear visualization of gender breakdown using a bar graph, showcasing the percentage change in survey respondents between 2020 to 2021.

Cons:

• The geographic distribution visualization is poorly executed, lacking clarity on its representation and meaning. Improvements are needed.
• To enhance comprehension, a bar graph comparing the number of survey respondents between 2020 and 2021 could be included.
• Highlighting the high percentage data visualization tool, chart type, or sharing platform would add emphasis and clarity to the information.

[shaumikiitm]

A heatmap for frequency of birthdays

Name: Shaumik Khanna RollNo: 21f1005771

Source

How effective is it at what it aims to do?

The infographic aims to show the which dates of the year people get their birthday on. One would expect a distribution like this to be uniform. The heatmap tries to show how there do exist small variations in the frequency. It is moderately effective at doing this, but it could be improved in a few ways.

What works well?

• The infographic is easy to look at and uses a clear colour scheme.
• The chart is easy to read and understand.
• It is concise and to the point.
• You can make out a clear skew toward the later months of the year where birthdays are more common.

What doesn't work well?

• The chart does not explain the reason for this skew.
• There is no way to know what is the range of the frequencies. From the colour scheme one assumes a large difference between the high and low.
• The chart is misleading. In this correctly coloured chart, we can see that the bulk of the data is only 7-10% apart.
• The chart makes no mention of the actual number / metric used.

What could be better?

• The chart could include sources for the data.
• The chart could be improved by explaining the metric used eg - mean births.
• The chart could give a proper scale and range so the viewer knows the rough variation in the numbers.
• The chart could be colour accurate. Capturing the true difference of mean births among dates.
• The chart could highlight some reason for the discrepancy, as well as mark the min and max.

[ineerajrajeev]

20 Years of Apple vs. Microsoft

Name: Neeraj Rajeev Shetkar Roll no.: 21F1006328

Description:

The provided graph illustrates the performance comparison between tech giants Apple and Microsoft over the past two decades. The graph visually represents the events and developments experienced by each company and their impact on the respective evaluations.

Source: https://www.visualcapitalist.com/apple-vs-microsoft-20-years/

Pros:

1. The graph covers most of the events in last 2 decades.
2. Different contrasting colours used for different companies helps viewer clearly distinguish.
3. Products launched and companies acquitted are shown along with symbol so that person who may not recognise the company by name may remember by its logo.
4. Date of creation of visualisation and sources of data mentioned so as to verify the authenticity.

Cons:

1. Many of the events missing from the timeline which made huge impact on the company market cap such as Stepping down of Bill Gates as chairmen of Board at Microsoft. Resignation of some significant faces at Apple such as Johnathan Ive, Angela Ahrendts.
2. Several product launches missing from the graph making huge impact such as Windows 11, Apple Vision Pro, Apple Silicon, etc.
3. The Graph could have had company evaluation since the company were listed or the company started which cold have provided much more intuition of the company's journey to Microsoft : 298B in 2004 and Apple: 8.3B in 2004.
4. The graph baseline does not start at 0 rather it starts at 8.3B and distance between 8.3B and 298B at the beginning gives wrong intuition about the actual difference between the market caps.

Suggestions for Graph Improvement:

1. Event Inclusion: Expand the timeline to encompass critical events that significantly influenced market caps.
2. Product Launch Integration: Incorporate key product launches to illustrate their impact on company evaluations.
3. Historical Market Caps: Include data from the companies' initial listing or founding to present a holistic view of their market cap evolution.
4. Baseline Adjustment: Consider starting the graph from zero to provide an accurate visual representation of the differences in market caps.

[mukeshmlb92]

Name: Mukesh K Roll no: 21F1000478

Title: A cup of joe

Source

Description: The infographic titled "A cup of joe" is designed to compare the prices of various beverages at premium coffee chains. The message that Third Wave's beverages are more economical is effectively conveyed through the comparative pricing.

What Works Well: • Comparative Pricing: The infographic successfully compares the prices of beverages across different coffee chains, making it easy to identify the most economical options. • Design and Aesthetics: The use of coffee-relevant color themes and clear icons for each type of beverage enhances the visual appeal and aids in quick identification. • Information Layout: The horizontal alignment of coffee chains and their respective prices facilitates easy cross-comparison between different chains for a specific beverage type. • Price Visibility: Prices are displayed in a bold font that draws attention and is easy to read, effectively highlighting the key information. What Could Be Improved: • Volume Information Consistency: The representation of beverage volume varies and should be standardized to allow for an accurate comparison of price per volume across chains. • Symbol Clarity: The meaning of symbols like asterisks and crosses is not immediately clear. A legend or key should be provided for quick reference. • Accessibility: The reliance on green color to convey price information could be problematic for color-blind users. Including patterns or shading would make the data accessible to a wider audience. • Readability of Small Text: The volume of beverages and footnotes are in a smaller font size, which could be difficult for some users to read. This information should be more prominent. • Explanation of Special Characters: There is a need for immediate clarification of special characters used in the graphic to avoid confusion and misinterpretation of the data.

[sanket21f1007096]

Name: Gaikwad Sanket Sanjay Roll no: 21f1007096

Title: Stolen Paintings Source

Description: The visualization shows the thefts of 40 paintings: they are thefts committed since 1900 to today. For each theft, the following data are indicated: author of the painting, year of the theft, whether the painting has been found or not, title and centuries of the painting. The visualization also shows the cases in which the works were stolen from the same museum.

What works well:

• Rich information: The graph goes beyond just showcasing the year of theft; it also includes details like creation century, author, retrieval status, and painting name, offering insights into trends and specific cases.
• Grouping by museum: Dotted lines effectively visualize, and group painting thefts based on the museum, aiding in comparison and identification of patterns.
• Easy to observe pattern: Clear pattern can be seen that most paintings are stole in last 3 decades.

What does not work well:

• Year tracking: The bent line across many years makes pinpointing the exact year of theft for paintings on the far right challenging.
• Redundant legends: The use of both colour and line bend direction to represent the same variable (retrieval status) is redundant. Choosing either colour or direction consistently would enhance clarity.
• Recovery information: Lack of data on the year of recovery is a valuable element missing from the graph. This information could potentially clarify instances of paintings appearing "stolen twice" due to overlapping bends.
• Visual complexity: Depending on the number of data points, the graph might appear overloaded, potentially causing difficulty in analysing information for some viewers.

What could be better:

• Incorporate recovery year: Including the year of recovery would address the issue of potentially confusing overlapping bends and provide a more complete picture of the theft-retrieval cycle.
• Simplify legend: Using only colour to represent retrieval status (found/not found) would streamline the legend and improve visual clarity.
• Consider alternative graph: Replacing the current visualization with a time series line graph could be more effective. With coloured data labels and clear axis markings, this format could efficiently convey most of the information while reducing complexity.

[AlapeAniruddha]

Name: A Aniruddha Roll: 21F1005327

Title: Codebases, Millions of lines of Code

Source: https://informationisbeautiful.net/visualizations/million-lines-of-code/

Description The visualization compares the codebase of various applications on the basis of lines of code. The visualization has considered applications across games, operating systems, vehicles and even organisms.

What works well

• The X-axis is used to indicate the number of lines of code but each bar also provides the actual value thereby offering good readability
• Items with similar size of codebase can be observed in a particular section and the use of horizontal lines function as separators to indicate the change in scale
• Applications which include multiple entries based on the newer versions are connected using a gray band which also indicates the percentage increase in number of lines
• Each bar which indicates the size of the codebase based on length is also broken into slabs which further contain 10 blocks each. If the annotations were not provided, this would have assisted in identifying the values

What does not work well

• Entries in the visualization include “Mouse”, “Fighter Jet”, “Bacteria”. The depiction and comparison of these entries using lines of code is not explained in the infographic
• The color scheme for the bars is chosen at random and does not help in differentiating or gleaning more information
• The band that shows the percentage increase in codebase from “Windows XP” to “Windows Vista” is overshadowed by a different entry due to the use of similar colors
• The visualization does not explain the category for most of the entries which can prompt the reader to forcibly visit alternate sources to learn about the same

What could be better

• The large empty space could be use to provide more information such as the category and the year when the application was created. This can provide an additional feature for comparison
• The color scheme can be made more consistent with different colors used for different categories. The intensity of a color could also be varied based on the length of the bar

[DEENA0503]

Title: 2024 U.S. Clean Electricity Outlook

Name: DEENA GAUTAM Roll Num: 21f1001012

This visualization shows the projected generation capacity of different clean electricity technologies in the U.S. for 2023 and 2024, measured in gigawatts (GW) using bar chart.

Pros: • It can effectively show the percentage growth projected for different electricity sources (battery storage, solar, wind, etc.) in 2024 compared to 2023, allowing for easy visual comparison between them. • It highlights specific details such as the significant growth rate in battery storage capacity with visualization. The relative sizes of bubbles represent growth rate of each technology. • The graph can visually represent the diversification of the U.S. energy portfolio, showcasing the rising prominence of renewables and energy storage compared to traditional sources like coal. • All the categories are represented with an appropriate image which makes it attractive and easy to comprehend.

Cons: • Absence of y-axis can be deceiving. The major difference of generation capacity between battery storage and geothermal is easy to misinterpret. • The colors are not used effectively to represent each category differently. • A graph alone might not provide enough context for understanding the reasons behind the different growth rates or the overall significance of the data.

What could be better?

• Line graph: This could show the trend of growth over time for each source, providing a more nuanced picture. • The bars can be easily color-coded to distinguish between renewable and non-renewable sources, emphasizing the shift towards renewables.

[lehani1]

Visualization of rivers and lakes

Review by: Name: Lehani Raj Mohanta Roll No: 21F1003574

Source : Click here

_The rivers kind of resembles of a left skewed gaussian distribution :openmouth:

Description:

The above visualization is a hand colored engraved view of the comparative length of the rivers and the size of lakes around the world. It was made by John Emslie and was published as "Panoramic plan of the principal rivers and lakes" in 1850. The map was created using a technique called stipple engraving, which involves creating an image by making tiny dots with a sharp tool.

This visualization illustrates 42 principal rivers in Europe, Asia, Africa, and the Americas.

Review:

The illustration of the rivers and the lakes are done in a way that is very intuitive to the viewer. At a glance, one can compare the length of the rivers and the size of the lakes.

Pros

• It is visually appealing for the viewer. The visualization's panoramic format and the rivers straightened out to allow a side by side comparison of lengths.

• The rivers and lakes are numbered region wise to which can be matched at the legends below the map to identify the name and the region of the river/lake.

• It also includes scales for measurement at the left and right side of the map to give a rough estimate of the length.

• From a research or technological stand point, this visualization provides a gist of what was the geographical understanding of the mid 19th century and the approach to map design without modern tools like GPS or satellite imaging systems.

Cons

• Best when compared with small number of rivers/lakes. Adding more comparisons will clutter the visualization and become complicated to point out a single entity.
• The survey methods during mid 19th century were not accurate, which led to inaccurate results. For example, according to the visualization Mississippi river is the longest, while modern estimates suggest Nile is the longest.
• The distinction between different regions in the visualization lacks clarity. Sometimes the viewer might loose track of the region while looking at longer rivers.
• Didn't pass the test of time. Over time, the natural forces cause rives to change their courses and lakes to shift their banks, which caused further inaccuracy.

How can it be improved upon?

• The most important problem when dealing with constantly changing phenomenon is to keep it updated, which in this case remained static throughout its lifetime. This issue can be solved with a dynamic visualization, which can be updated with new data as time passes by and will capture the changes.
• Adding more rivers/lakes and making the map interactive.
• Addition of more color pallets and distinguishing boundaries between regions and rivers/lakes.

[krishnaditi]

Title:- "Exploring the Ripple Effects of the Russian Invasion on Ukraine's Scientific Landscape"

Name:- Aditi Krishana; Roll No.: 21f1004270

Source:- https://www.visualcapitalist.com/impact-of-russian-invasion-on-science-and-academia/

Pros:

Color Coding: The use of distinct colors for Russia, Ukraine, and the world effectively aids in distinguishing between different entities, contributing to clarity.

Labeled Sectors: The inclusion of icons and text to explain specific impacts in each sector adds granularity and helps viewers understand the detailed consequences.

Cons:

Small Text: The small text size poses a readability challenge, potentially hindering the audience's ability to comprehend the information easily.

Information Overload: The infographic may suffer from presenting too much content simultaneously, risking cognitive overload for viewers. This could impact the effectiveness of the message delivery.

Improvements:

Enlarge Text: Increasing the text size would enhance readability, making it easier for viewers to absorb the information without straining their eyes.

Simplify Layout: Streamlining the layout by breaking down complex information into more digestible chunks or using a clearer visual hierarchy could improve the overall comprehension of the infographic.

In summary, while the infographic is somewhat effective in conveying interconnected impacts, improvements in text size and layout simplicity would enhance its overall effectiveness and user experience. The critique acknowledges the unique context of comparing a visual representation to conveying information about a complex topic.

[Abhishekgu]

Name: Abhishek Gupta Roll Num: 21f1004820 Title: Monthly Traffic Growth source : https://www.visualcapitalist.com/wp-content/uploads/2021/01/Which-Are-the-Worlds-Most-Visited-Websites.html ![Uploading Top_50_Websites_V4-2.jpg…]()

Positive points:

The visualization is clear and easy to understand. The bars are clearly labeled and the colors are well-chosen. The visualization shows a clear trend of growth. This is a positive point because it shows that social media platforms are growing in popularity. The visualization includes a source, which is a positive point because it allows viewers to learn more about the data. Negative points:

The visualization does not show the data for all social media platforms. This is a negative point because it makes it difficult to compare the growth of different platforms. The visualization does not show the reasons for the growth. This is a negative point because it makes it difficult to understand the factors that are driving the growth of social media platforms. The visualization does not show the negative impacts of social media. This is a negative point because it gives an incomplete picture of social media. Overall, the visualization is a good way to show the growth of social media platforms. However, it would be improved if it showed more data and considered the negative impacts of social media.

Here are some additional points to consider:

The visualization only shows data for a limited time period. It would be interesting to see how the growth of social media platforms has changed over time. The visualization only shows data for global traffic. It would be interesting to see how the growth of social media platforms varies by country or region. The visualization does not show how social media platforms are used. It would be interesting to see how the use of social media platforms varies by user demographics or platform.

[phanijallipalli]

Link - Click

By : Phani Kumar Jallipalli - 21f3002478

Age-Adjusted Prevalence of Diabetes for the Global Adult Population (50 Largest Countries)

This visualization The percentage of adults worldwide who have been diagnosed with diabetes or have elevated blood glucose levels, with adjustments made for differences in age distributions across populations of Largest 50 countries.

Pros :

• The visualization offers a succinct and straightforward overview, aiding easy comprehension of the data.
• The graph efficiently arranges countries in descending order of prevalence percentage, facilitating quick identification of high and low prevalence countries.
• Including averages across regions adds valuable context for regional analysis, enhancing the depth of insights derived from the visualization.

Cons

• Including all country names instead of only a subset would provide a more comprehensive view and enhance the analysis by enabling comparison across all 50 countries.
• Adding exact percentage values on each bar would improve precision and enable clearer interpretation of the prevalence rates for each country.

How it can be improved

• Ensure color harmony by selecting colors that complement each other and create a cohesive palette.
• Expand the graph to include all 50 countries in the dataset. This could involve adjusting the layout of the graph to accommodate more country names.
• Add exact percentage values on each bar of the graph to provide precise information about the prevalence rates for each country.

[PriyaNathani]

by Priyanka Nathani : 21f1005807

This is Data visualization for top Share Holders of Byju's

Pros:

1. It gives a good visualization of comparative holdings of top share holders in Byju's
2. The Byju's founder family group and board members are identified separately.
3. Just by looking at the chart one can get a feel of who is a bigger share holder.
4. Good choice of graph as it is synonymous with who has a bigger share in the pie.

Cons:

1. The choice of a semi-circle instead of complete pie-chart makes the chart difficult to read as there are many share holders
2. The choice of semi-circle gives an initial feeling that it only refers to half the value.
3. The share holders are neither mentioned alphabetically nor with respect to their holdings, which lead to going back and forth between the legend and the chart.

Additional points:

1. It would have been a good idea had the graph also included details like: Total percentage held by family group and board members; Total percentage of non-family largest share holders. It would have been easily comparable to others.

[Shabarish1403]

Ethnicity in Top 1000 IMDB Movies

Source https://slowfa.de/imdb1000/

P V Shabarish 21f1001346

Pros:

• The visualization provides a detailed insight into the ethnicities of directors and actors over time in the top 1000 IMDb movies. This helps in understanding the historical context and evolution of diversity in the film industry.

• The hover feature with pictures and information about each person and their respective movies adds interactivity, making the visualization more engaging and informative for users.

• The visualization is born out of a relevant and contemporary debate (#OscarsSoWhite), providing a context that makes the information more meaningful and pertinent.

• The use of rings to represent years and circles for individuals with a clockwise ordering by movie rating is a clear and intuitive representation, making it easier for users to interpret the data.

Cons:

• The dataset contains a significant number of unknown ethnicities (~900), which may affect the accuracy and completeness of the analysis. This could potentially introduce biases or limit the reliability of the conclusions drawn from the visualization.

• Depending solely on nndb.com for ethnicity information may introduce biases or inaccuracies, as ethnicity is a complex and nuanced concept that may not be accurately reflected in a single source.

• The visualization is based on the top 1000 IMDb movies up to February 2016, which may not fully capture more recent trends and changes in the film industry.

• There are duplicates in the data visualization also which implies inaccurate data visualization.

Points to be Improved:

• Efforts should be made to improve the accuracy and completeness of the dataset. Finding additional sources to fill the gaps in ethnicity information would enhance the reliability of the visualization.

• Consider incorporating other relevant variables such as gender, age, and roles (lead roles vs. supporting roles) to provide a more comprehensive analysis of diversity in the film industry.

• Given the dynamic nature of the film industry, it would be beneficial to update the visualization periodically to reflect changes and trends in a more current context.

• Clearly communicate the limitations of the dataset, potential biases, and the sources of information to ensure transparency in the analysis and interpretation of the visualization.

[HungryPanda0212]

Image Source - https://i.redd.it/population-density-map-of-myanmar-v0-7cmb3ny6dlgc1.jpeg?s=7e22188710cd49f604babb577576f02ab206368d

by : Nisankara Chandana - 21f1005727

Population density map of myanmar

This visvalization is of a 3D population density of Myanmar across the country

Pros :

• Clear Spatial Representation: The visualization provides a clear spatial representation of population density, allowing viewers to easily discern areas with higher or lower population concentrations.
• Visual Impact: The use of a 3D format adds visual impact to the map, making it more engaging and facilitating a more immersive understanding of population distribution patterns.
• Regional Comparison: Viewers can readily compare population density across different regions of Myanmar, enabling the identification of densely populated urban centers and sparsely populated rural areas.

Cons :

• Potential Distortion: 3D maps can sometimes introduce visual distortions, making it challenging to accurately perceive the actual differences in population density. Care must be taken to ensure the representation aligns with accurate data.
• Lack of Numerical Data: While the visualization effectively displays population density spatially, it lacks numerical data that quantifies the exact population density values for different regions. This absence of specific numerical information may limit the precision of analysis and decision-making based solely on visual interpretation.

Points to Improved

• Include Numerical Data: Provide specific numerical data alongside the 3D representation to quantify population density values for different regions. This addition allows for precise analysis and decision-making based on both visual and numerical information.
• Refine Visual Representation: Ensure the 3D representation accurately reflects the actual differences in population density without introducing visual distortions. Adjust the scale and perspective to maintain proportional representation and facilitate clearer interpretation.
• Optimize Color Scheme: Select a color scheme that effectively distinguishes varying population densities and enhances clarity. Use contrasting colors with intuitive gradients to aid in visual differentiation and interpretation of density levels.

[Charan1152]

Graded Assignment 1 - Global Sentiment Analysis

Name: Kruthiventi M R S Sai Charan Roll No.: 21f1004450

Source: Global Sentiment Analysis - SentDex

In this visualization, there are a number of advantages and disadvantages that come into picture.

Pros

• The color scheme chosen for the image is very good and visually appealing.
• Interactive Image/ Real Time updation is provided very well.
• The data is well collected and presented as on the global level.

Cons

• The bars which were provided on each of the areas/ locations are not quantitative i.e; they do not provide the actual count which makes it difficult to infer.
• As there are numerous countries out there having various locations, the data looks cluttered in this format.
• Real time updation makes the visualization even hard to comprehend and move fastly.

Points to be Improved

• Data Simplification
• Color Coding
• 2D Projections
• Grouping and Clustering

Thank You

[himadridixit]

Title: The $80 Trillion World Economy in One Chart

Roll No.: 21f1006310

Source

This visualization shows the world economy in 2017 with the global GDP estimated around $80 trillion.

What I like

• Use of bright colors to differentiate between different parts of the world.
• Very clean. Not too cluttered with information.

What I don't like

• Can't find your country if it's not large enough in terms of GDP percentage.
• Percentages are shown as area with weird shapes so it's heavy on the mind.
• No relation between size of the continent to it's GDP percentage.

What can be improved

• As human eye is better at perceiving lengths than area, a different chart would've been good.
• More can be conveyed by using a simple descending bar chart.
• There wasn't any need to make middle east or other countries as a separate category. They should've been added to their respective continents.
• Size of continent/country to GDP should've been included.

[DevanshGandhi-16]

Microsoft Q2 FY-24 Income Statement

Name: Devansh Gandhi Roll No: 21f1002115

Source: Reddit

This infographic aims to visualize Microsoft's Q2 FY24 income statement, offering a snapshot of the company's financial performance.It is clear, concise, and visually appealing. However, there are a few areas where it could be improved.

Pros:

• It shows where Microsoft's money comes from and where it goes in a way that's like following a map.
• The colors help tell different parts of the money story apart.
• It’s easy to see the big numbers like how much money they made and how much they kept after paying for everything

Cons:

• Can be difficult to compare values: The widths of the bands in the diagram are not proportional to the values they represent, so it can be difficult to compare the revenue of different products and services.
• It doesn't have arrows, so some people might not know how to follow the money from start to finish.
• The writing is small, so it might be hard to read if you can't make the picture bigger.

Suggestion for improvements:

• When they made less money than before, it's shown with a minus sign, but it could be clearer, maybe with a different color.
• Label the bands with values: This would make it easier to compare the revenue of different products and services.
• It might be helpful to show how Microsoft is doing compared to other similar companies

Overall, the Sankey diagram is a good way to visualize the flow of Microsoft's revenue. However, it could be improved by making it easier to compare values and by reducing the clutter.

[hanani8]

Hanani Bathina 21f1006169

How Apple Makes Money!

URL: Source

How effective is it at what it aims to do?

It is one of the finest visualizations I have seen in a while. Zero ambiguity, and the information is displayed succinctly. Apple has a lot of soft power, and its actions have a lot of fallout effects on various aspects of our society. This visualization is, according to me, aiming to spark a conversation around Apple and possibly help people connect dots with other tangential information. It perfectly does it.

What works well and what doesn't?

The funnel-in and funnel-out way of laying the information is very good. It gives data points like iPhone, Mac, iPad their own importance, helping the viewer compare between them, and at the same time indicating that it is part of the product lineup.

The choice of colors for Revenue, Costs, and Profits is very natural and obvious. The dark-green, dark-gray, and dark-red portions being of the same width make it very easy to compare between data points. The pixel-to-$1B ratio is very cleverly chosen, thus resulting in a not-so-bloated graph but at the same time being legible. Data points like {Products, Services}, {iPhone, Mac, iPad}, etc., being on the same column make it easy to compare between them.

In the Revenue sections, the name, YoY, and the $B are on the left side of the darker region, whereas in the Cost and Profits section, it is on the right side, with no exceptions. This uniformity gives a nice symmetry to the graph.

Overall, this seemingly fun graph has sparked off many tangential conversations about R&D, Services, Streaming Shows, Population Density in Fertile Basins, etc., which is a sign of a good visualization.

What could be better?

Maybe having an even darker shade to proportionally color the bands to indicate the previous year's performance, to accompany the YoY number, would be a good addition. Comparing the numbers with other easily understood numbers like GDP of countries will offer a nice perspective, thus sparking off even more conversations.

[prakhar-20]

Small States: Big Players in Development and Governance

Name : Prakhar Bansal Roll No. : 21f1003810

Source - https://www.universiteitleiden.nl/en/news/2019/02/dimiter-toshkov-wins-world-data-visualization-prize

About the visualization This visualization gives us the information about the Human Development Index and the Government effectiveness in the year 2017. It also includes graphs of political stability, control of corruption, freedom rating for various countries. All these graphs are grouped by population sizes into 3 categories, that are small, midsized, and big states. Here the states also contains countries. The world map in the top right corner shows the populations of different counties categorized into 3 categories. The blue means that the population is more than 35 million, yellow means between 5 and 35 million and red means less than 5 million. It shows the global distribution of the population. The other small 5 graphs tells that small states tends to be more political suitable, have lower levels of corruption, enjoy more political freedom but small states improve less and have even lost some ground. Small states have maintained or even improved their performance on other governance indicators in recent years, despite having made less progress on the HDI.

Pros

• This visualization provides the clear message with proper labels that indicates that small states performs better than large one in various places.
• Multiple small graphs are used here to give more information.
• Different colors are used for 3 different category of population that provides good visual appearance.

Cons

• It does not provides the information about the reason behind the low HDI scores for the small states.
• In the center graph many of the points are unlabeled with the state names.
• The labels is not properly showing the proper point of that label.
• Many of the points that are overlapping are difficult to visualize.
• The graph is not suitable for understanding for general audience.

Improvements that can be done

• Can give the reasons behind the findings like the reasons why HDI is low in small states.
• Create an interactive format that can points the labels at proper places.
• Can highlight the outliers like countries with highest population, lower population etc.

[arunkumariitm]

Name: Arunkumar N Roll No: 21f3000442

Title: U.S. Streaming Subscribers: Projections for 2027

URL: https://www.visualcapitalist.com/u-s-streaming-subscribers-projections-for-2027/

About the visualization:

This visualization from Visual Capitalist dives into the future of the U.S. streaming market, offering a glimpse at what it might look like in just three years. Using a simple bar chart format, it presents projected subscriber numbers for four major streaming platforms in 2027: Prime Video, Netflix, Hulu, and Disney+. Each platform is distinguished by a unique color, making it easy to compare their anticipated subscriber bases at a glance.

Pros:

• Clear and concise: The chart effectively communicates its message with a simple bar chart format and easy-to-read labels.
• Comparative data: The visualization allows for easy comparison of subscriber projections for different streaming platforms in 2027.
• Color-coding: Using different colors for each platform helps differentiate them visually.
• Source attribution: Mentioning the source of data adds credibility and transparency.

Cons:

• Limited data: The visualization only shows projections for four major platforms, neglecting other significant players in the market.
• Static format: The lack of interactivity prevents exploration of individual platforms or deeper insights into the data.
• Missing details: Subscriber numbers are represented in millions, but the exact figures are not shown, making precise comparisons difficult.
• No error bars or confidence intervals: The projections are presented as absolute values without indicating their reliability or potential range of error.
• No context: The visualization doesn't provide any context about the factors driving the projected growth or the overall size of the streaming market.

Improvements:

• Include more platforms: Consider adding smaller players with notable market share or high growth potential.
• Interactive elements: Allow users to hover over bars for detailed information, compare platforms dynamically, or filter by specific criteria.
• Exact subscriber numbers: Show both millions and the full figures for greater precision.
• Error bars or confidence intervals: Indicate the uncertainty associated with the projections.
• Add context: Briefly explain the factors influencing growth and the overall streaming market landscape.
• Consider alternative chart types: A stacked bar chart might be more suitable for showing total market size and individual platform share simultaneously.