Created an R Shiny dashboard to communicate various KPIs and Metrics. The dashboard contains a linear regression model and a histogram (which can be adjusted by the end user). The dashboard also contains buttons that can be selected in the top right corner and a link to download the dataset.

Econometrics | Spring 2023

This repository contains files and data related to courses of Machine Learning and Statistics.

This case study is recommended for Google-data-analytics professional course.

This capstone project was done as a part of Google Data Analytics Professional Certificate course.

A comprehensive analysis in R of weak signal propagation within the WSPR network, focusing on the impact of distance, frequency, and power on signal-to-noise ratios. The project includes data cleaning, statistical analysis, and linear regression modeling to predict signal reception quality and understand the factors influencing signal propagation.

A repository for R codes and data for a paper titled "Exploring grammatical and semantic profiles of ANGRY and MAD: A corpus-based study". The paper uses data from the Corpus of Contemporary American English (COCA) as part of the undergraduate thesis project by Ida Ayu Saskara Tranggana Suari, supervised by Prof. I N. Sudipa and Gede Rajeg, PhD.

RNA-seq replication analysis.

Google Data Analytics capstone project using Chicago's Divvy bicycle sharing system public data from January to June 2023.

a lil tutorial about how to install the R kernel in Jupyter Notebooks

This repository contains files related to a longitudinal study of global democratic backsliding conducted by Lia Smith and Kayley Watson. The study utilizes R programming language for data analysis and visualization.

30 Days R Challenge

30 Days R Challenge

SocialMedia Big Data Analysis for Eminem (music artist), using RStudio and R lang

In this project, I tried to predict the number of bicycles that can be rented every hour of the day.

The task involves analyzing a dataset named "house-data.csv" from the perspective of classification, prediction, and validation using the R programming language.

Application of the ETS model to forecast rainfall patterns. Leveraging time-series analysis techniques, it predicts future rainfall levels by analyzing historical data specifically from Bahwalnagar District, Punjab, Pakistan.

Predicting loan interest rate using R.

BSc Economics Dissertation Project