{"id":22328412,"url":"https://github.com/sijuswamy/data-analytics-using-r","last_synced_at":"2025-04-12T11:42:55.238Z","repository":{"id":164518043,"uuid":"595164217","full_name":"sijuswamy/Data-Analytics-using-R","owner":"sijuswamy","description":"Course Repository for Data Analysis using R- Add-on course","archived":false,"fork":false,"pushed_at":"2023-10-14T03:27:56.000Z","size":14936,"stargazers_count":1,"open_issues_count":0,"forks_count":6,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-26T06:31:09.045Z","etag":null,"topics":["data-analysis"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/sijuswamy.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-01-30T14:30:31.000Z","updated_at":"2024-05-27T06:34:08.000Z","dependencies_parsed_at":"2025-03-26T06:37:10.990Z","dependency_job_id":null,"html_url":"https://github.com/sijuswamy/Data-Analytics-using-R","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sijuswamy%2FData-Analytics-using-R","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sijuswamy%2FData-Analytics-using-R/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sijuswamy%2FData-Analytics-using-R/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sijuswamy%2FData-Analytics-using-R/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/sijuswamy","download_url":"https://codeload.github.com/sijuswamy/Data-Analytics-using-R/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248563935,"owners_count":21125382,"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"],"created_at":"2024-12-04T03:12:32.042Z","updated_at":"2025-04-12T11:42:55.210Z","avatar_url":"https://github.com/sijuswamy.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Data-Analytics-using-R\nCourse Repository for add-on programme at VJCET, Kannur\n----\n\n## Day-3\n\nDay 3 is devoted to advanced data analytics in R programming. The main focus is on how to practically analyze likert-scaled data collected through online forms like `Goggle Form` or `Microsoft Form`. On successful completion of this session, the participant will be able to:\n1. analyze the Likert-scaled data using R\n2. create a report in many format using `yaml` options in R Studio\n3. create an analysis web page in `Github`\n4. create a publication-ready document using `rticle` package\n\n### Part-1\n\u003e**Data analytics of Fruit preference Data**\nLink to the `markdown` file:\n\u003chttps://github.com/sijuswamy/Data-Analytics-using-R/blob/main/Analysis%20of%20fruit%20preference%20data.Rmd\u003e\n\n\u003e**Task 1:** Complete the analysis by running the r codes chunk by chunk and prepare an `html` file by `knitting` the `.Rmd` file.\n### Part-2\n\n\u003e**Report automation:**\n\n\u003e**Task 2:** Generate a complete report of the analysis in `.pdf` format.\n\n### Part-3\n\u003e**Parameterized report generation**\n\n- Clone  the repository \u003chttps://github.com/sijuswamy/CO-Target-Fixation-Template\u003e into your workspace\n- Run the `Target_Fixation_template.Rmd` for report generation\n\n-----------------------------------------------------------------------------\n## Day 4 (Online Mode)\n\n### Experimenting with `Geospatial Data` using R\n\nLink to the source file for Day 4 session:\n\n[Geospatial Analysis resource](https://github.com/sijuswamy/Data-Analytics-using-R/blob/main/gviz.Rmd)\n\n\u003e**Reading Geospatial Data**\n\n\u003e**Visualizing Geospatial Data**\n\n\u003e**Preparation of web pages using `bookdown` package**\n\n\u003e**Assignment:** Create web pages of all the `Rmd` files available in the course repositories.\n\n\n\u003e**Task:** Visit the site in reference 2, and create a new markdown file with name `introduction to GIS using R.md` in your GitHub repository.\n\u003e\n\n\u003e*Extra reading resourses:*\n\n1.[Language Technology and Data Analysis Laboratory](https://ladal.edu.au/gviz.html)\n\n2.[R4WRDS Introductory Course](https://www.r4wrds.com/intro/)\n\n---------------------------------------------------------------------------------------------------\n## Day 5 (Online mode)\n\n### Documentation \u0026 Report Generation\n\nLast day is devoted for capstone projects.\n\n**CProject-1 Title:**  `A business model possibility analysis based on customer feedback`\n\n**Requirements**\n\n\u003eThe participants are advised to transform the `Fruit data analysis` in to a scientific journal paper with `elsevier` style. The article should have all the requirements as per the journal policies.\n\n**CProject-2 Title:** `Automation of Course Attainment Target fixation of First Year accademics using R`\n\n\u003e*Requirements*\n\nThe participants are advised to transform the parameterized report generation task in to a process automation work, which will create Branch specific web pages with proper `tocs` and can be directly connected to a campus website.\n\n--------------------------------------------------------------------------------------------------------\n## Day-2 - Data processing\n\n- R libraries for data analytics\n- Basic descriptive statistics\n- visualization tools \n- Probability distributions\n- Inferential statistics\n\n### Practical Example : Working with Survey data in R- Case study\n\nPlease fill up the form:\n\u003chttps://forms.gle/QkGdFvLsWbqLh14C7\u003e\n\nLink to the source file for fruit data analysis:\n\u003chttps://github.com/sijuswamy/Data-Analytics-using-R/blob/main/Analysis%20of%20fruit%20preference%20data.Rmd\u003e\n\nAddress of datafile- https://raw.githubusercontent.com/sijuswamy/Data-Analytics-using-R/main/Fruit_data.csv\n\n\n## Day-1: Introduction to R programming\n- Introduction of R\n- Installation\n- R in cloud\n- Basics of R programming\n\n\n\u003chttps://github.com/sijuswamy/Data-Analytics-using-R/blob/main/Day-1%20Presentation.Rmd\u003e\n\nLink to external resources:\n\n[R for Data sciences](https://bookdown.org/rdpeng/rprogdatascience/)\n\n[R programming tutorial](https://bookdown.org/nguyenthieu2102/r_programming_tutorial/)\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsijuswamy%2Fdata-analytics-using-r","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsijuswamy%2Fdata-analytics-using-r","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsijuswamy%2Fdata-analytics-using-r/lists"}