API CAN CODE �Computational Foundations of �Data Science

Lesson 2.5: Preparing Data for Analysis

This work was made possible through generous support from the National Science Foundation (Award # 2141655).

2.4 Recap

• We can use for loops to iterate through an entire dataset and quickly print out all the observations, or one or more aspects of all the observations�
• We can use if statements to filter down what is being printed out into just observations we’re interested in�
• Last lesson, we looked at the Top 100 Movies dataset from IMDB and explored some of our questions about these movies!

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Warmup

• Open this program in EduBlocks, which uses the Mario Kart data we’ve seen before�
• Create chunks of code that filter the data so that:
• Only Luigi’s data prints out
• All the acceleration values print out, but nothing else
• Only Peach’s weight value prints out

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Finding the Billboard Hot 100

1. Go to RapidAPI �
2. Go to the Billboard API�
3. Should look like this (Note: we will use the “Hot 100” endpoint):�
4. Click “Subscribe to Test” and select the free option

4

Getting Example Code

Once subscribed, go to the right side (look for “Code Snippets”): �make sure the “Target” reads “Python” and the “Client” reads “Requests”.

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Be sure you’ve selected the right endpoint� (on the left!): “Hot 100”

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Request from EduBlocks

1. Open, clone, save, and rename this program.
2. Enter the URL, the desired date, and your X-RapidAPI-Key shown in the example code from RapidAPI.

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Offline API Backup!

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• If the Billboard API is down, you can use a pre-downloaded version of the same data. �
• Use the backup EduBlocks file we created for this lesson, found here.

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Preview the Data

1. Run your completed program and view the output.�

What variables are present? What kind of data is stored?�

What questions do you have about the data?

8

Explore the Data

Modify your code so that it lists just the artists in the dataset. Do you recognize any artists in the list?�

How many Taylor Swift songs are in this list? (Write a loop that counts for you!)�

Choose an artist and write an if statement to check if there are any songs by that artist in the dataset.

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Explore the Data

Some songs feature multiple artists working in collaboration! �

The code to the right will check the entire list of artists to see if the list contains a particular artist name. �

Consider using this snippet of code as we move into your own independent investigations!

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Investigate!

Formulate a question of interest about the Billboard 100 data and answer it! You might use for loops or conditional if statements like we used for the Movie investigation.�

Here, you may choose any artist you want (or other search criteria if you can find something of interest!)

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You might also want data from another week; think about what statements you could add to your program to draw in data from other weeks!�

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Share Your Investigation Results!

1. Tell the class about your findings. How did you do your analysis? �
2. What did you find?�
3. Did you bring in any data from other weeks? What variables did you work with?�
4. What more do you wish you were able to do with this analysis? (Additional variables? Tables? Graphs?)

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Exporting Data from EduBlocks

1. Now, remove all of the code after “myJSON = response.json()”�
2. Attach the chunk of code that includes “print(i[‘rank’], “,”, i[‘title’], “,”, i[‘artist’])” to your code.�
3. Run the code. What does the output look like? Is it still in JSON format?

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Importing Data into CODAP

1. Your teacher will copy the output from our last program. (You can do this by highlighting all the text, and pressing ctrl+C.)�
2. Now, they will open CODAP, a data analysis program that includes data visualization. Once in CODAP, select “Create New Document.”�
3. Once in this document, select the “Tables” button in the top left, then “--new from clipboard--”�
4. What form is this data in? What would this program allow you to do with it?

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Importing Data into CODAP

1. Once imported to CODAP, the data is in a nice, neat tabular format�
2. We can now use it to make visualizations and other data summaries

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Upcoming work with CODAP

1. In the next unit, we’ll do more work with CODAP! �
2. This program will let us take our processed data from EduBlocks and do further analysis, like transforming variables, creating new ones, and visualizing data through graphs. �
3. RapidAPI lets us draw in live-updated data; EduBlocks processes it for us; CODAP lets us finish our analysis.

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Thanks!

apicancode@umd.edu

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This work was made possible through generous support from the National Science Foundation (Award # 2141655).

API Can Code is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike

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