Visualization of Mortality Data, South Africa, 2012
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Updated
Feb 14, 2020 - R
Data visualization is the visual depiction of data through the use of graphs, plots, and informational graphics. Its practitioners use statistics and data science to convey the meaning behind data in ethical and accurate ways.
Visualization of Mortality Data, South Africa, 2012
This project's goal is simply to examine how household energy usage varies over a 2-day period in February 2007, reconstructing some specific plots using the base plotting system.
Lightweight website for data-focused exploration of Wordle answers
e-commerce statistical analysis with R
Text analysis, also known as text mining, is the process of automatically classifying and extracting meaningful information from unstructured text. It involves detecting and interpreting trends and patterns to obtain relevant insights from data in just seconds.
An R package that simplifies creating interactive visualizations and understanding the variables in your data through an interactive Shiny application.
Scripts for data wrangling and visualization with R
Shiny web app with some nice visualizations explaining socioeconomic impact of COVID-19 in the capital of Spain.
Recommendation Systems: Rating Predictions with MovieLens Data (first Capstone Project for HarvardX's Data Science Professional Certificate).
Collecting the lyrics of iron maiden's songs and making some wordclouds with it (praticing how to organize an R project).
Plotly RShiny Dashboard in R of an overnight process
This repo hosts an Aquaculture Data Project focused on supervised learning experiments for both classification and regression tasks. Utilizing the 'escapesClean.csv' dataset, models such as Logistic Regression and Random Forest Regressor are built. An R Shiny app for real-time predictions is also included for model deployment.
Data Visualization about Job Gender, this is my first time using shiny-dashboard as the library, overall this a great chance for new comers to learn new dashboard
Customer Behavior Analysis project utilizing the "Groceries Market Basket Dataset" from Kaggle. The project employs a data-driven approach to uncover customer purchasing patterns and relationships within the grocery market using K-means Clustering and Association Rules using Apriori-Algorithm. In collaboration with some friends.
This project provides R code for importing, processing, and visualizing datasets, including operations like selecting rows/columns, creating new columns, computation, merging, applying functions, counting, and visualization.
Explore diverse data analysis techniques using R programming combined with advanced machine learning algorithms to uncover insights and create powerful predictive models.
Geomapping global COVID-19 timeseries data through an interactive dashboard
This is r script for my google data analytics professional project
Created by Charles Joseph Minard