https://github.com/lmizner/codecademy_stack_overflow_survey
Tackling missing data with deletion, single imputation, linear interpolation, and multiple imputation techniques
https://github.com/lmizner/codecademy_stack_overflow_survey
boxplot catplot jupyter-notebook matplotlib-pyplot pandas python seaborn sklearn
Last synced: 11 months ago
JSON representation
Tackling missing data with deletion, single imputation, linear interpolation, and multiple imputation techniques
- Host: GitHub
- URL: https://github.com/lmizner/codecademy_stack_overflow_survey
- Owner: lmizner
- Created: 2022-10-08T04:46:03.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2022-10-08T04:49:59.000Z (over 3 years ago)
- Last Synced: 2025-02-08T07:41:42.503Z (about 1 year ago)
- Topics: boxplot, catplot, jupyter-notebook, matplotlib-pyplot, pandas, python, seaborn, sklearn
- Language: Jupyter Notebook
- Homepage:
- Size: 172 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# codecademy_stack_overflow_survey
### Stack Overflow Survey Trends
You work for a staffing agency that specializes in finding qualified candidates for development roles. One of your latest clients is growing rapidly and wants to understand what kinds of developers they can hire, and to understand general trends of the technology market. Your organization has access to this Stack Overflow dataset, which consists of survey responses by developers all over the world for the last few years.
Your project is to put together several statistical analyses about the community to educate your client about the potential hiring market for their company.