{"id":19446550,"url":"https://github.com/dcs-training/r-visualisation-and-stats","last_synced_at":"2026-06-20T10:31:22.019Z","repository":{"id":43744209,"uuid":"364512678","full_name":"DCS-training/R-Visualisation-and-Stats","owner":"DCS-training","description":"This repository contains material from a 8 classes course on Data Visualisation and statistics with R ","archived":false,"fork":false,"pushed_at":"2022-07-07T14:51:56.000Z","size":37034,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-07T22:55:11.462Z","etag":null,"topics":["data-analysis","data-visualisation","data-wrangling","intro-to-programming","r","statistics"],"latest_commit_sha":null,"homepage":"","language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/DCS-training.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.md","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2021-05-05T08:40:15.000Z","updated_at":"2024-07-26T13:46:12.000Z","dependencies_parsed_at":"2022-07-14T00:20:38.087Z","dependency_job_id":null,"html_url":"https://github.com/DCS-training/R-Visualisation-and-Stats","commit_stats":null,"previous_names":["dcs-training/r-visualisation-and-stats"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DCS-training%2FR-Visualisation-and-Stats","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DCS-training%2FR-Visualisation-and-Stats/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DCS-training%2FR-Visualisation-and-Stats/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DCS-training%2FR-Visualisation-and-Stats/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/DCS-training","download_url":"https://codeload.github.com/DCS-training/R-Visualisation-and-Stats/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":232949859,"owners_count":18601386,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["data-analysis","data-visualisation","data-wrangling","intro-to-programming","r","statistics"],"created_at":"2024-11-10T16:14:21.668Z","updated_at":"2026-06-20T10:31:22.014Z","avatar_url":"https://github.com/DCS-training.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"# R Visualisation and Stats\n\nHello Everyone! This is the Readme File for the **Statistics and Visualisation with R** Class. \n\nThis course is focusing on 2 aspects of using R for your research i.e. **visualising your data** and **compute some basic Statistics** on it. \n\nThere is much more you can do with R and R Studio and there are a lot of video tutorials you can watch and posts you can read: \n\n- If you want to learn more on **Data Wrangling** with R: [https://www.linkedin.com/learning/data-wrangling-in-r/welcome?u=50251009 ](https://www.linkedin.com/learning/data-wrangling-in-r/welcome?u=50251009)[https://datacarpentry.org/R-ecology-lesson/03-dplyr.html ](https://datacarpentry.org/R-ecology-lesson/03-dplyr.html)\n- If you want to keep learn **small bits over a long period** of time this is a very interesting approach[ https://www.linkedin.com/learning/r-for-data-science- lunchbreak-lessons/exercise-files?u=50251009 ](https://www.linkedin.com/learning/r-for-data-science-lunchbreak-lessons/exercise-files?u=50251009)\n- **Machine Learning** with R[ https://machinelearningmastery.com/machine- learning-in-r-step-by-step/ ](https://machinelearningmastery.com/machine-learning-in-r-step-by-step/)[https://www.datacamp.com/community/tutorials/machine-learning-in-r ](https://www.datacamp.com/community/tutorials/machine-learning-in-r)\n- If you want to learn more on using **R and GIS together**  \n\n[http://research.shca.ed.ac.uk/past-by-numbers/ ](http://research.shca.ed.ac.uk/past-by-numbers/)[https://www.jessesadler.com/post/gis-with-r-intro/ ](https://www.jessesadler.com/post/gis-with-r-intro/)\n \n\nMore generally, the good thing of R being an Open Source software means you can find  a lot of help online. If at any point of your research you get stuck on something just google the issue and 99% of times someone else posted about it already! \n\nThe best sites on where to **find info and help** are: \n\n- [https://stackoverflow.com/ ](https://stackoverflow.com/)\n- [https://www.r-bloggers.com/ ](https://www.r-bloggers.com/)\n\nFinally if you want to **learn more about what R can do** you can find more info in here: \n\n- [https://www.r-project.org/about.html ](https://www.r-project.org/about.html)\n- [https://blog.revolutionanalytics.com/2012/07/a-big-list-of-the-things-r-can-do.html ](https://blog.revolutionanalytics.com/2012/07/a-big-list-of-the-things-r-can-do.html)\n- [https://simplystatistics.org/2019/03/13/10-things-r-can-do-that-might-surprise- you/ ](https://simplystatistics.org/2019/03/13/10-things-r-can-do-that-might-surprise-you/)\n\nWhat you are going to find in this repo\n\n- In  the  ***installation  instructions***  you  can  find  the  installation instructions.  \n- In the ***classes*** folder you can find all the codes covered during the course. \n- In  the  ***challenges***  folder  you  can  find a series of challenges with correspondent solutions that you can use to test what you have learnt. \n- In the ***datasets*** you are going to find all information concerning the datasets used in the classes and challenges. \n\n\nHow to set a R project  \n\n- We are going to cover the subject during the first class but you can find more info on how to set a project in here[ https://support.rstudio.com/hc/en- us/articles/200526207-Using-Projects ](https://support.rstudio.com/hc/en-us/articles/200526207-Using-Projects)\n- Or you can watch this video:[ https://www.youtube.com/watch?v=pyJMWlDptYw ](https://www.youtube.com/watch?v=pyJMWlDptYw)\n- For this class you would need 5 subfolders : \n- Data \n- Code \n- Challenges \n- Solution  \n- Graphs  \n\n## **Topics**\n- Class 1: *Intro to R and R Studio*\n- Class 2: *Types of Data and Grammar of Graphics*\n- Class 3: *Intro to Statisitcs and Descriptive Statistics*\n- Class 4: *Boxplots and Graph Customisation*\n- Class 5: *Data Collection Bias, Probability and Distributions*\n- Class 6: *Null-Hypothesis Testing*\n- Class 7: *Barplots and How to Clean Messy Datasets*\n- Class 8: *PCA and Cluster Analysis*\n- Class 9: *Correlation, Regression, Similarity and Difference Coefficients*\n\n\n\nThis repo has a [![License: CC BY-NC 4.0](https://licensebuttons.net/l/by-nc/4.0/80x15.png)](https://creativecommons.org/licenses/by-nc/4.0/) license\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdcs-training%2Fr-visualisation-and-stats","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdcs-training%2Fr-visualisation-and-stats","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdcs-training%2Fr-visualisation-and-stats/lists"}