Closed agrasonal closed 5 years ago
looking forward to working on this.
Hey guys, We can also use this link to explain how to decide the right type of visualization.
https://www.datapine.com/blog/how-to-choose-the-right-data-visualization-types/
Looking forward to working on the reader!! We can also take a look at this link which helps in picking the appropriate data vizualization tools based on specific requirements: https://www.upwork.com/hiring/data/19-data-visualization-tools/
Thank you Sonal for collaborating all the ideas. We can also add some content from this link. It has the graphs specific for engineering. https://visme.co/blog/types-of-graphs/#engineering This has some nice and interactive visualizations. https://www.webdesignerdepot.com/2009/06/50-great-examples-of-data-visualization/
Fancy charts :)
Thank you all for sharing some of the amazing resources for this project.
This article which tells you how an agile process can be an effective visualization technique could be another great addition!
Another addition could be to know when does data visualization project fails so that we can be well prepared.
We can also use the article about 35 incredible data viz tools that would be helpful for step 6 of life cycle of a data visualization project
Thank you all for sharing some of the amazing resources for this project.
This article which tells you how an agile process can be an effective visualization technique could be another great addition!
Another addition could be to know when does data visualization project fails so that we can be well prepared.
These are wonderful resources. We in #1229 are also planning to use the reasons for data viz project failures as important learnings to be kept in mind when starting a data viz project.
Thank you all for sharing some of the amazing resources for this project. This article which tells you how an agile process can be an effective visualization technique could be another great addition! Another addition could be to know when does data visualization project fails so that we can be well prepared.
These are wonderful resources. We in #1229 are also planning to use the reasons for data viz project failures as important learnings to be kept in mind when starting a data viz project.
Ahh! Thanks for letting us know. This could have been one of the closing notes for life cycle of a data visualization project. So when we reach that section in our proposal in the coming weeks we can collaborate for this particular topic!
Following are some of the interesting resources which can help decide what type of visualization to use:
All the promised deliverables have been implemented. Therefore, we are closing this issue.
The topics we will cover as a part of “Types of Data Visualizations’ for the reader:
1. Life-Cycle of a Data Visualization Project We will outline the process and the steps data analysts can undertake while working on a data visualization project. This can act as a guideline for any future data analysis and visualization projects we undertake. We will break this further into the following steps: — Step 1: Understanding the Business Issues — Step 2: Understanding Your Data Set — Step 3: Data Preparation — Step 4: Exploratory Analysis/ Modeling — Step 5: Validation — Step 6: Visualization and Presentation
(Ref: https://www.northeastern.edu/graduate/blog/data-analysis-project-lifecycle/)
2. How to decide what type of visualization to use: Here our attempt will be to understand how to choose the right kind of visualization for the data at hand. This is imperative because choosing the wrong visual or using a default chart can cause confusion to the reader sometimes even leading to misinterpretation.
(Ref: https://blog.hubspot.com/marketing/types-of-graphs-for-data-visualization) (Ref: https://visme.co/blog/types-of-graphs/#business) (Ref: https://dzone.com/articles/top-10-industries-benefiting-from-big-data-and-ana)
3. Visualizations relevant to different industries In order to give you a clearer idea of how data insights and predictive analytics are actually changing industries, we will begin by exploring certain best practices for visualizations for different industries. We will also understand the impact of data visualization on different industries.
(Ref: https://flowingdata.com/2018/12/27/best-data-visualization-projects-of-2018/) (Ref: https://www.mibar.net/blog/why-data-visualization-is-a-necessity-for-modern-businesses/