Data Analysis with Pandas in Python
All the problems in this repository have a lot of solutions, some of them are complicated, some are simple, some are obvious and some are hard to grasp. In my way of coding, I am choosing the short and neat solutions to most of the problems.
This is why I love Pandas. In Pandas, one can write almost everything in one line.
Sometimes the short and neat solutions are slower in terms of execution time. In these cases, I will provide other solutions.
File Table:
| Jupyter File | Description | Data Files |
|---|---|---|
| Olympic_Games_Analysis.ipynb | Data cleaning and analysis on the olympics dataset | olympics.csv |
| Census_Bureau_Analysis.ipynb | Data cleaning and analysis on the census dataset | census.csv |
| World_Countries_Analysis.ipynb | Data cleaning and analysis on countries data from few datasets | Energy_Indicators.xls world_bank.csv scimagojr-3.xlsx |
| Hypothesis_Testing.ipynb | Data cleaning and hypothesis testing on USA housing dataset | university_towns.txt gdplev.xls City_Zhvi_AllHomes.csv |