This repository contains an R script to scrape movie reviews from IMDB.
-
Updated
Sep 16, 2024 - R
This repository contains an R script to scrape movie reviews from IMDB.
The objective is to forecast Procter & Gamble's stock performance using time series analysis to provide valuable insights for investors and stakeholders.
This repository contains the code and data for the Getting and Cleaning Data Course Project, a Coursera course offered by Johns Hopkins University. The purpose of the project is to demonstrate your ability to collect, work with, and clean a data set. The goal is to prepare tidy data that can be used for later analysis. :)
mde: Missing Data Explorer
This project aims to analyze the dashboard for Foodpanda Restaurants in ASEAN countries. This dashboard contains a few parts including home, customer preferences, ASEAN tastes, delivery insights and rating analysis. This R Shiny dashboard was created by using the R programming language.
A business manager of a consumer credit card portfolio is facing the problem of customer attrition. They want to analyze the data to find out the reason behind this and leverage the same to predict customers who are likely to drop off.
Various R functions, mostly for own use
Logistic regression analysis performed on a complex dataset of mushroom profiles with the goal of determining the characteristics which make a mushroom edible or inedible to humans.
Statistical Analysis of US Traffic Accidents from 2017 to 2019.
Data Cleaning and Wrangling using Excel and R
CSUEB Data Science workgroup project Fall 2021
Clean your data frame in one readable function
Data cleaning and visualisation functions in R
Data Science course exercises, textbook chapter 20 and forth
Human Activity Recognition database is built from the recordings of 30 subjects performing activities of daily living (ADL) while carrying a waist-mounted smartphone with embedded inertial sensors.
Add a description, image, and links to the datacleaning topic page so that developers can more easily learn about it.
To associate your repository with the datacleaning topic, visit your repo's landing page and select "manage topics."