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data-viz-of-the-week's Introduction

Weekly Data Visualizations

The goal is to create weekly visualizations with pyplot, seaborn, and plotly, balancing high quality visualizations and short readable code using public datasets.

This means some visualizations won't be perfect, but should be accurate and of good quality. Students and teachers should be able to follow the data exploration while understanding, and hopefully modifying, the code.

data-viz-of-the-week's People

Contributors

mrbubbleman avatar misterhay avatar jswan5 avatar jlee2843 avatar mlamoureux avatar byrcyb avatar bbelsek avatar ayushchaudhari2001 avatar brycehaley avatar mgrant46 avatar raniamahdi avatar tinal5 avatar meghbali avatar

Watchers

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data-viz-of-the-week's Issues

First Draft Issues/Improvements

I would call this a draft. It is not ready for a pull request

Beginning of Notebook

  • This notebook is more suited for grade 8-12

  • Where does this fit in the curriculum?

  • The question is needs be more clear? Are you referring to the economy or insurance companies, individuals?

  • Do we need natural disasters from 1900? Perhaps more current dates would be more relative.

  • The Calgary Video the prompting questions need to more related to "economy or costs" as that this theme of the notebook. For example, list as many things that were damaged or cost more to repair.

  • Some of the text sounds like a "personal conversation" between two people. Remove some text that is unnecessary or reword it. For example, in the Code Area
    Now that we have stated what this project will be about we need to setup the rest of our notebook. To setup this notebook run the code cells below to import the libraries we need for this project. In short, libraries are pre-made code that make it easier to analyze our data. Only keep the bold, remove the rest.

Comment on Data Section

  • As we can see from the numbers below the dataframe itself, don't you mean above?
  • I would stop here! and Break it up into smaller manageable steps!
  • Help the students only look at certain columns. First I would have them list the columns
  • Second prompt them to organize it based on
  1. province/area
  2. event type
  3. insurance cost
    Other than these three, the other columns may not significant
    Make it simpler.

Explore
Interesting Scatter plot

  • I think there needs to be also based on the location. Not sure a scatter plot is the best visualization for this information. I would be nice to have a legend to turn on and off disasters and/or areas.

Interpret

  • Incomplete

January Temperatures

Notebook #62

  • Be more explicit changing the station number in the code. You say "then put that value in the code cell below". Maybe put a comment beside station suggestion #change the station location here
  • The last cell "It looks like in Ottawa the temperatures in January 2023 were close to the warmest in the last ten years. How about near where you live?" Should that be there or up on the lesson?
  • Wondering if we can have an overlap visualization of the chosen weather station data with Ottawa.
  • Then asked the students where there any similarities or differences? What are some factors what would contribute to the differences?

Government spending updates

Good explanation of data frames!

Question
I don't think sectors is the correct word here. Could you just say where does the Government of Canada allocate funding?
Goal:
Again suggest take out the word sectors. A sector is more a part of the economy like "Retail".
Great background section! ๐Ÿ’ฅ
For the first viz: Progression of FTE's for___
Just a matter of wording but I think most of the government spending sources are government agencies and not different organizations. I would say the organization for a lot of them is "Government of Canada."
Explore
Under "read the commented data .." I think your instructions need to be more precise.

For first visualization I think there needs to be more explanation of what that is and how to interact with it. Can you change the expense that viz is about for instance?

The discussion of FTE"s and government spending is confusing and I think needs further explanation.

The bar graphs are great! The folium map is great but I believe the folium map needs me explanation.

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