|Project Name||Stars||Downloads||Repos Using This||Packages Using This||Most Recent Commit||Total Releases||Latest Release||Open Issues||License||Language|
|Startr||71||2 years ago||mit||R|
|A template for data journalism in R|
|Tinyproject||10||3 years ago||6||R|
|A lightweight data analysis framework for R users|
|Myrcodesfordataanalysis||6||2 years ago||HTML|
|My R Codes For Data Analysis|
|Data Science With R||6||2 months ago||R|
|Data Science | Machine Learning | Data Analysis|
|5th Weather Chart Documentation||4||5 years ago||R|
|Documentation on the C°F 5th Weather Chart data analysis methodology.|
|Resources||3||a year ago|
|Resources I use in my work|
|Us Mass Shootings Analysis||3||4 years ago||1||HTML|
|An analysis of US mass shootings data (1982 to 2019) provided by Mother Jones. Analysis done using R in RStudio, results published to HTML using RMarkdown, and styled using CSS.|
|Olympic History Analytics In R||2||10 months ago||RMarkdown|
|Looking at 120 years of Olympic history and discovering interesting trends, patterns and visualizing our findings using R.|
|Recommendation System||2||2 years ago||R|
|Movie recommendation system using statistics and machine learning methods. Contains code, report and R Markdown file.|
|Nyc Film Permits And Nypd Resources||1||8 months ago|
|Data Exploration, Analysis and Reporting Using R Markdown|
An analysis of US mass shootings between 1982 and 2019.
The output of this code is an html page which can be viewed on Rpubs.com
The reason this analysis was conducted was because:
This analysis is based on data on US mass shootings 1982 - 2019 provided by Mother Jones:
“Our research focused on indiscriminate rampages in public places resulting in four or more victims killed by the attacker. We exclude shootings stemming from more conventionally motivated crimes such as armed robbery or gang violence.”
Data is available for download on motherjones.com
Analysis done using R in RStudio.
Results published to HTML using RMarkdown.
HTML styled using CSS.
HTML file is hosted on rpubs
ggplot, gganimate, usmap, treemapify and waffle were used to create the data visualisations, which include: