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https://github.com/rakibhhridoy/exploratorydataanalysis-python
Exploratory data analysis is an approach to analyzing data sets to summarize their main characteristics, often with visual methods. A statistical model can be used or not, but primarily EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis testing task.
https://github.com/rakibhhridoy/exploratorydataanalysis-python
ab-testing chitest data-science eda exploratory-data-analysis ftest hypotheses hypothesis-testing inferential-statistics numpy pandas python statistical-analysis statistics statsmodels ttest
Last synced: about 4 hours ago
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Exploratory data analysis is an approach to analyzing data sets to summarize their main characteristics, often with visual methods. A statistical model can be used or not, but primarily EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis testing task.
- Host: GitHub
- URL: https://github.com/rakibhhridoy/exploratorydataanalysis-python
- Owner: rakibhhridoy
- Created: 2020-07-21T09:40:25.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2020-08-18T11:11:08.000Z (about 4 years ago)
- Last Synced: 2023-03-09T10:33:15.939Z (over 1 year ago)
- Topics: ab-testing, chitest, data-science, eda, exploratory-data-analysis, ftest, hypotheses, hypothesis-testing, inferential-statistics, numpy, pandas, python, statistical-analysis, statistics, statsmodels, ttest
- Language: Jupyter Notebook
- Homepage:
- Size: 1.99 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0