R library for spatial data analysis based on libgeoda and GeoDa

Scraped job description and leveraged the concepts of Natural Language Processing (NLP) and GloVe Algorithm to extract the keywords through data and performed analysis. Presenting the vital keywords from data analyst job summary from the Indeed website..

My R Assignments & Case Studies from PGDDA course

A new feature selection algorithm based on relevance, redundancy and complementarity (A Research Paper Implementation)

The repository contains a Pune house price prediction system build using R programming Language. The System efficiently calculates and analyze house prices in multiple areas across Pune using machine learning models and Data science and analytical tools

This project is all about how to collect data from a webpage and to analyze or visualize it in R.The data is scraped from Wikipedia which includes the Obesity report of USA.

iSLS10 data analysis workshop

First Project- Bellabeat Case Study, Google Data Analytics Capstone

Files with the realtime API covid 19 data for analysis and visualization. It works with Realtime-Api for data ingestion. So when running -> refersh the code once and run . Fist run "covid-world.R "file ,contains the main source code for files with detail comments on each code written for better understanding

This Project is all about studying and analyzing the Urbanization Rates and the percentage of Population living in Urban Areas for the Countries.

Combining all work done in the Udemy course R Programming A-Z

PositivityPilot is an R project that utilizes the Shiny package to create a web application that provides users with random positive affirmations each time the page is refreshed.

This project is part of the HarvardX course PH125.9x Data Science: Capstone Project.

I did data analysis and data visualization projects by servicing R language.

Portfolio of work submitted for SQA qualification Data Science, SCQF 8

Crime Data Analysis for ANLY 506-90

(2018.01.05~2018.01.27) 2017년 서울시 빅데이터 캠퍼스 상시공모전(우수상) | 주제 : 서울시 자전거사고 밀집구역 원인분석 및 개선방안

Data Analysis and Visualization Of LifeExpectancy based on WHO data. Summarized the data for developed and developing countries. I used histograms and scatter plot to get clear visualization of factors like income, schooling, immunizations. Built a model using linear regression and performed residual diagnostics to check for correctness of the r…

R programming is a popular language for data analysis and statistical computing. It offers a rich ecosystem of packages and libraries for a wide range of data-related tasks. In R, you can manipulate data frames, perform statistical analysis, create data visualizations, and generate reports with ease. The language's open-source nature and active com