Data Science in R

This repository contains the code used for my blog, RPubs and Shinyapps

Exploratory Data Analytics

1. Univariate Analysis (in-time problem)
2. Multivariate Analysis (in-time problem)
3. Multicollinearity (in-time problem)
4. Time Series EDA (in-time problem)

Hypothesis Testing

1. z-test and t-test (in-time problem)
2. Anova test (smart cities data)
3. Chi-Square goodness of fit test (in-time problem)
4. Chi Square test of independence (smart cities data)

Modelling

1. Logistic regression using Titanic problem
2. Part and partial correlation concepts used in Multiple linear regression

Other posts

1. Recomendation System
2. Handling Google Maps Location Data (in-time problem)
3. Class size paradox (using Amrita University placement data)
4. Imputation of null values using KNN algorithm

Dashboards / Apps

1. t-distribution with varying 'n'
2. ANOVA simulation and test with varying 'distance between group means'