Hello Community Members,
A solution to last week’s challenge can be found here.
We are wrapping up the October Takeover event with this fourth challenge submitted by Akimasa Kajitani (@AkimasaKajitani) from the Tokyo User Group. Huge thanks to Aki for this fantastic challenge and his contributions to the Tokyo User Group.
For this week’s challenge, your task is to highlight the impressions people have of Jupyter Notebook, one of the most widely used Python development environments in data science. Many of you may already be familiar with it, especially since it is integrated into the Python tool in Alteryx Designer.
Your challenge is to analyze survey results on Jupyter Notebook usage. The data provided includes responses, but there is a twist—some survey entries are incomplete, and you need to remove them, also all the questions and answers are merged into a single cell in Excel.
To solve this challenge, your first step is to organize the responses to Questions 1 through 10 into a table. Then, complete the following tasks:
- Calculate the median, maximum, and minimum time (in minutes) that respondents took to complete the survey.
- Determine the count and percentage of respondents who use Jupyter Notebook regularly.
Hint: Use the frequency labels from the question How often do you use Jupyter Notebook?
- Analyze responses to Question 7 to identify the top five words used by respondents to best describe Jupyter Notebook.
Happy solving!
Data Source: https://data.world/technology/jupyter-notebook-ux-survey
Note: The format of this data has been modified to meet the objectives of this challenge.
The Academy Team
