## Anova and Chi square test

Anova and chi-square test on in-time problem. Code for f and chi-sq distribution.

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# Category: Data Sciences

## Anova and Chi square test

## Hypothesis test for population parameters

## Why are basics important?

## Time series EDA

## Multicollinear analysis

## Multivariate Analysis

## Handling Google maps location data

## Get started with Python | Notebook for Beginner’s level

## Class size paradox

## Univariate Analysis on in-time

by Harsha Achyuthuni and friends.

Anova and chi-square test on in-time problem. Code for f and chi-sq distribution.

Discussion on hypothesis testing. Introduction to z-test and t-test, Code for visualization of z-test and t-test.

Explains why basics are important using a simple example.

Tutorial on Time Series EDA. Contains time plot, seasonal plots and correlogram plots (ACF) for in-time problem with reusable R code.

Tutorial on Multicollinearity which is the third part of EDA. Plot of Correlation matrix and network for in-time problem with reusable code.

Tutorial on Multivariate analysis which is the second part of EDA. Explained using in-time problem with reusable R code.

Getting traffic, vehicle used, location and journey time from Google Maps. Integrating these factors for in-time problem.

Hi there. My name is Tamoghna Saha. For my bio, you can take a look at my LinkedIn profile or my GitHub account, but if you are wondering “who the hell is this guy in Harsha’s website?” , then I am (also) Harsha’s roomie! He told me to take up the initiative of writing articles Read More

Explanation of class size paradox using Amrita University placement data. Contains reusable R code for web scraping.

Tutorial on Univariate analysis which is the first part of EDA. Explained using in-time problem with reusable R code.