GitHub - Andrew-deb/Pandas_Practice_with_dataset

This repo contain both past and recent practice with the use of pandas for profiling and discovery of trends within datasets mostly from kaggle and stack overflow.

Name		Name	Last commit message	Last commit date
Adding and removing columns from a dataframe.ipynb		Adding and removing columns from a dataframe.ipynb
Basics.ipynb		Basics.ipynb
Cleaning Data - Casting Datatypes and Handling Missing Values.ipynb		Cleaning Data - Casting Datatypes and Handling Missing Values.ipynb
Data Frame and series.ipynb		Data Frame and series.ipynb
FILTERING - using conditionals to filter rows and columns.ipynb		FILTERING - using conditionals to filter rows and columns.ipynb
Grouping and Aggregating - Analyzing data.ipynb		Grouping and Aggregating - Analyzing data.ipynb
Indexing.ipynb		Indexing.ipynb
Modifying data within a dataframe.ipynb		Modifying data within a dataframe.ipynb
Plotting Time Series.ipynb		Plotting Time Series.ipynb
Practice2.ipynb		Practice2.ipynb
Practices.ipynb		Practices.ipynb
README.md		README.md
Reading and Writing Data to Different Sources - Excel, JSON, SQL, Etc.ipynb		Reading and Writing Data to Different Sources - Excel, JSON, SQL, Etc.ipynb
Sorting Data.ipynb		Sorting Data.ipynb
Understanding dataframes using dictionary.ipynb		Understanding dataframes using dictionary.ipynb
Working with Dates and Time Series Data.ipynb		Working with Dates and Time Series Data.ipynb
practice 3.ipynb		practice 3.ipynb

Navigation Menu

Repository files navigation

About

Releases

Packages

Contributors

Languages

Latest commit

History

Folders and files

Repository files navigation

About

Resources

Stars

Watchers

Forks

Releases

Packages

Contributors

Languages