Final Project for Intro. to R

In this group assignment, we look back at previous week's data dives and analyse the model.

In this week's data dive, we work with time functions related to our data topic and find significant trends and seasons.

In this week's data dive, we dig deeper into the GLM concept in statistics and check the fit of the model with diagnostic plots.

In this week's data dive, we introduce the concept of GLM and tweak with some of our columns!

In this week's data dive, we introduce Logistic Regression(LR) and try fitting our columns against each other in a LR model fit.

In this week's data dive, we make two null hypothesis and with help of statistical methods we disapprove it!

In this week's data dive, we mutate new columns and find correlation between them.

In this week's data dive - I have written about what things I learnt more about the data by it's documentation as well as what things were missing in the dataset's documentation.

We create new samples and find how different numerical as well as categorical columns vary in it.

This time we use group by in R to find additional insights on various groups in our dataset!

Hi, I'm Bhushan. This is document is a data dive into the details of the Candidates who contested in the 2019 Indian Loksabha elections.