Not logged in
Talk
Contributions
Create account
Log in
Navigation
Main page
About
People
Publications
Teaching
Resources
Research Blog
Wiki Functions
Recent changes
Help
Licensing
Page
Discussion
Edit
View history
Editing
Community Data Science Course (Spring 2023)/Week 6 coding challenges
(section)
From CommunityData
Jump to:
navigation
,
search
Warning:
You are not logged in. Your IP address will be publicly visible if you make any edits. If you
log in
or
create an account
, your edits will be attributed to your username, along with other benefits.
Anti-spam check. Do
not
fill this in!
== #3 Progress on your final project == Answer these questions using markdown cells in a notebook. Check out the notes I left about this in the [[../Week 5 coding challenges]] (the third paragraph) or think back to Kaylea's comments during the Week 6 assignment recap video. Let us know: # What is your proposed ''unit of analysis''? In other words, if/when you end up building something like a spreadsheet, what are rows going to represent? # What specific measures associated with each unit do you want to collect? In other words, what are the columns in the spreadsheet going to be? # Tell us what you've learned about the API: ## Are you going to be able to get the data you want with one API call or many? If more than one, how many? ## If it's more than one call, how will you know when you have collected all your data? # Make one API call and save the output to your desk in either a <code>.json</code> or <code>.jsonl</code> file. Be sure to share the code you used to do this. Be sure not to include any API keys in your notebook! # How big is the JSON file that you saved on your disk (i.e., in bytes or kilobytes)? If it is not your full dataset, what is your estimate for how much larger the full dataset will be? How big will the total dataset be? Is that a problem?
Summary:
Please note that all contributions to CommunityData are considered to be released under the Attribution-Share Alike 3.0 Unported (see
CommunityData:Copyrights
for details). If you do not want your writing to be edited mercilessly and redistributed at will, then do not submit it here.
You are also promising us that you wrote this yourself, or copied it from a public domain or similar free resource.
Do not submit copyrighted work without permission!
To protect the wiki against automated edit spam, we kindly ask you to solve the following CAPTCHA:
Cancel
Editing help
(opens in new window)
Tools
What links here
Related changes
Special pages
Page information