## Stationarity tests

Dickey fuller unit root test and Ljung box independence tests are discussed using attendance data set.

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# Category: in-time

## Stationarity tests

## ARIMA

## Chi-Square goodness of fit test

## Analysis of variance (Anova)

## Hypothesis test for population parameters

## Time series EDA

## Multicollinear analysis

## Multivariate Analysis

## Univariate Analysis on in-time

and machine learning

Dickey fuller unit root test and Ljung box independence tests are discussed using attendance data set.

ARIMA using the Box-Jenkins approach. Discussed Dickey fuller, Ljung−Box Test and KPSS tests. Built and validated a forecast for in-time data in attendance data.

A brief introduction to ChiSquare goodness of fit test using attendance data. Codes for Chi-sq plots along with post-hoc Cramers V are available.

Anova hypothesis test on unemployment data. Post hoc analysis and visualisations are presented.

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

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.

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