Topic: pandas
Pandas Basics
Table of Contents Frequency Table using pd.crosstab References What is Pandas Pandas is a library specifically aimed at simplifying the…
EDA - Exploratory Data Analysis
Purpose Companies usually collect a lot of data over time. Once they have enough data, they realize, they can't do much with it. They come…
Data Visualization and EDA
Purpose Understanding various types of Plots available for analyzing data Prologue Data visualisation is an important skill to possess for…
Standardisation of Data
Purpose Whatever data you get will most likely not be in a format that can be processed directly. There will some form of data cleaning…
Operations on Pandas DataFrames
Merging DataFrames Note: can be set to left / right / inner / outer and it is similar to SQL is the column on which merge can occur…
Reading data from external sources into a DataFrame
Reading from text file Reading from Database Scraping data using bs4 Reading data from PDF files (pyPDF2) Reading from text file Reading…
Treating Missing values in DataFrame
Identify missing values Note: If there were any rows missing all values, we would simply drop them. Treating missing Values There are…