Data science VAsk a question, explore some relevant data, make a visualization that reveals the answer.ResourcesHere are a couple of great resources (outside of the original docs) to help with pandas, matplotlib, and Google Colab:Python Data Science Handbook by Jake VanderPlasCharts in Google ColabAssignmentTask Ask an interesting question about the world. Any question that does not have an obvious answer and for which you can find data that will allow you to answer it. For example:Is Steph Curry the greatest 3-point shooter of all time? Find the data. Load it into pandas. Manipulate it as required to answer your question. Make a visualization wherein the answer to your question is quite obvious. For example:"Stephen Curry’s 3-Point Record in Context" by The New York Times In case you have trouble with step 1, here are a few data sources that you could mine: Gapminder project (see videohereand data forpopulation,life expectancy, andGDP) MontrealOpen Data(you can even dive intometro delays from 2019) BixiOpen Data(to load the data you can use thiscode). You could even compare with theNYC CitiBike,Boston Bluebikes,Minneapolis nicerideorWashington capital bikeshareprograms!What to hand inYou have two options. In groups of two, you can either: Write a notebook using Google Colab and simply submit the share link. Include your question as the title of your notebook and add a section for each of the following: "Load data", "Analysis", and "Visualization". We will run your notebook and should see that your question is answered by the visualization at the end. Write a python script using Spyder or other IDE on your computer. You will submit your code and an image file with the visualization. Make sure to include comments in your code to indicate where you load the data, where you analyze it, and where you generate the visualization.

Data science V Ask a question, explore some relevant data, make a visualization that reveals the answer. Resources Here are a couple of great resources (outside of the original docs) to help with...

Ask a question, explore some relevant data, make a visualization that reveals the answer.

Here are a couple of great resources (outside of the original docs) to help with pandas, matplotlib, and Google Colab:

Task

Ask an interesting question about the world. Any question that does not have an obvious answer and for which you can find data that will allow you to answer it. For example:Is Steph Curry the greatest 3-point shooter of all time?

Find the data. Load it into pandas. Manipulate it as required to answer your question.

Make a visualization wherein the answer to your question is quite obvious. For example:"Stephen Curry’s 3-Point Record in Context" by The New York Times

In case you have trouble with step 1, here are a few data sources that you could mine:

BixiOpen Data(to load the data you can use thiscode). You could even compare with theNYC CitiBike,Boston Bluebikes,Minneapolis nicerideorWashington capital bikeshareprograms!

You have two options. In groups of two, you can either:

Write a notebook using Google Colab and simply submit the share link. Include your question as the title of your notebook and add a section for each of the following: "Load data", "Analysis", and "Visualization". We will run your notebook and should see that your question is answered by the visualization at the end.

Write a python script using Spyder or other IDE on your computer. You will submit your code and an image file with the visualization. Make sure to include comments in your code to indicate where you load the data, where you analyze it, and where you generate the visualization.

May 11, 2021