Meeting Notes

[tanmaysharma19]

Documenting agendas and minutes from team meetings.

[jraza19]

January 11, 2021 - Team meeting minutes

• Discussed details around team work and expectations
• Tasks assigned to all team members
• To do some EDA on a preferred dataset for next meeting
• Reviewed GitHub details: fork the main repo, add a main branch protection, commit with the rebase - if you have multiple different types of commits and commit with squash - if you have to combine different types of commits for the same document, use Github Projects Kanban to keep track of tasks
• Refer to Rafs checklist for reference on making a dashboard (link shared in the google doc)
• Next meeting: Tuesday Jan 12 4pm

[jraza19]

January 12, 2021 - Agenda

• Review dataset exploration and EDA
• Discuss progress on other tasks (not mandatory)
• Discuss next steps and any additional tasks prior to next meeting

Meeting Minutes -

• Reviewed the EDA using the rubric Raf provided
• decision made: obesity dataset but looking at aggregating together two sets of data
• potentially look at survey data
  • labour force
  • education data
  • out of school
  • literacy rate /primary completion rate
  • female unemployment rate
  • proportion of time spent on unpaid domestic work
  • unemployment
  • life expectancy
• try finding other datasets that have continent/region, gender, year, country
• WHO(Javairia), UN(Raf), World Bank (Dustin), Google/academia (Tanmay), cardiovascular heart health related (Raf)
• think about uses for each: forecasting, country ranking, associations (relating variable together)
• simulate data - look at research for cardiovascular/obesity
• filter out both gender rows from the data
• create another issue for the new dataset findings (variables specified above included, how complete is it)
• thinking about visualizations for the aggregated dataset

[jraza19]

January 13, 2021 - Agenda

• Discuss findings
• Discuss next steps for proposal

Meeting Minutes -

Individual predictor - what is the value for this country missing data? what would be predict new data? Text boxes for weight, height - we predict the likelihood that they are obese? use a logistic model from an academic paper

Trends around obesity? what are the risk factors for obesity? public awareness campaign - why its important component? dispelling myths around weight

audience

• UN public health professionals/policy maker - who should I target?
• government policy maker
• nutrition field

dashboard exploring patterns and trends relationships (scatter) where you stand as a country/as individual input your own data a race graph - where you change it over time guide the audience to use the data

start a google doc - everyone add their sections there. MVP done by Friday research misconceptions around obesity - Tanmay and Javairia to do

Wednesdays meetings changed to 4pm.

[jraza19]

January 13 and 14, 2021 - Minutes

• Reviewed proposal document and sketch

• Discussed issues on area of focus and have a cohesive proposal

• Decision made - to focus just on obesity and not on different global health issues at this time

• Team to meet on January 16, 2021 to finalize

[tanmaysharma19]

January 18, 2021 - Minutes

Agenda:

1. Discuss layout of the 4 quadrants in the sketch
2. Discuss data wrangling to have pre-processed data to be used for all visualizations

Reflections:

1. Optimize meeting structure.
2. The team did a good job of laying out all the work and completing the requirements.
3. Team is doing a good job of following the team contract.

Meeting minutes:

1. Raf demo-ed the initial app development from week 1 (Obesity vs Smoking chart).
2. Team discussed data-wrangling - if we should do rate calculations etc. on servers side vs Client side, whether to have pre-processed data vs doing Altair transformations etc.
3. Javairia demo-ed a plot for country rankings based on obesity rates, which relates to the bottom right plot in the proposal sketch.
4. Team discussed chloropleth plot options and what visualizations can be shown on that plot.
5. Team discussed the possibility of using other plotting libraries and agreed to work with Altair exclusively currently and exploring other libs if time permits.

Action Items:

1. Each of the plots on the sketch - 1 item a. Chloropleth (Raf) b. Bar-chart (Javairia) c. Time series plot (Dustin) d. Scatter plot/ 3-factors (Tanmay)
2. List of helper functions for repetitive wrangling and filtering tasks (Google docs?)
3. Explore options to handle missing data as app dev continues
4. Testing deployment on Heroku (Wednesday)
5. Update GH issues and tasks for Milestone 2 submission a. Update Readme as per instructions b. Explore transformations in Pandas vs Altair c. Reflection document d. Keep track of data/ code anomalies / test all dev work

[tanmaysharma19]

January 20, 2021 - Minutes

Agenda: 1) Discuss the progress on the different plots. 2) Discuss deployment to Heroku. 3) Discuss next steps.

Meeting minutes: 1) Raf demo-ed the progress on the Chloropleth plot and discussed data wrangling commonalities that all the team members could use. 2) Dustin demo-ed the obesity trendline time-series plot and discussed adding different trendlines for the global obesity and regional obesity trendlines. 3) Javairia demo-ed the bar-chart plot for the top countries based on obesity rate. 4) Tanmay requested another day to share progress on the scatter plot. 5) Team discussed edits and optimizations to the different visualizations such as labels, opacity of trendlines, exclusion of origin from plots, changing axes' scale etc. 6) Team worked on deploying the app to Heroku and faced an error with half the plot not showing up when the app is deployed to Heroku.

Action Items: 1) Finalize a csv with the country name and country code mappings. 2) Develop the plots further as per the team discussion. 3) Resolve the heroku deployment error where half the plot from app.py doesn't show up. 4) Raf taking the lead to develop a data filtering function to do the common wrangling tasks. 5) Handle the missing countries in the script e.g. USA etc.

[rtaph]

The active development of this app has moved to https://github.com/UBC-MDS/obesity-explorer-R

Please see that repo for the latest group meeting minutes.