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https://github.com/sijuswamy/data-analytics-using-r
Course Repository for Data Analysis using R- Add-on course
https://github.com/sijuswamy/data-analytics-using-r
data-analysis
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Course Repository for Data Analysis using R- Add-on course
- Host: GitHub
- URL: https://github.com/sijuswamy/data-analytics-using-r
- Owner: sijuswamy
- Created: 2023-01-30T14:30:31.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2023-10-14T03:27:56.000Z (over 1 year ago)
- Last Synced: 2024-12-04T03:12:26.481Z (about 2 months ago)
- Topics: data-analysis
- Homepage:
- Size: 14.2 MB
- Stars: 1
- Watchers: 1
- Forks: 6
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Data-Analytics-using-R
Course Repository for add-on programme at VJCET, Kannur
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## Day-3
Day 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:
1. analyze the Likert-scaled data using R
2. create a report in many format using `yaml` options in R Studio
3. create an analysis web page in `Github`
4. create a publication-ready document using `rticle` package
### Part-1
>**Data analytics of Fruit preference Data**
Link to the `markdown` file:
>**Task 1:** Complete the analysis by running the r codes chunk by chunk and prepare an `html` file by `knitting` the `.Rmd` file.
### Part-2
>**Report automation:**
>**Task 2:** Generate a complete report of the analysis in `.pdf` format.
### Part-3
>**Parameterized report generation**
- Clone the repository into your workspace
- Run the `Target_Fixation_template.Rmd` for report generation
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## Day 4 (Online Mode)
### Experimenting with `Geospatial Data` using R
Link to the source file for Day 4 session:
[Geospatial Analysis resource](https://github.com/sijuswamy/Data-Analytics-using-R/blob/main/gviz.Rmd)
>**Reading Geospatial Data**
>**Visualizing Geospatial Data**
>**Preparation of web pages using `bookdown` package**
>**Assignment:** Create web pages of all the `Rmd` files available in the course repositories.
>**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.
>
>*Extra reading resourses:*
1.[Language Technology and Data Analysis Laboratory](https://ladal.edu.au/gviz.html)
2.[R4WRDS Introductory Course](https://www.r4wrds.com/intro/)
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## Day 5 (Online mode)
### Documentation & Report Generation
Last day is devoted for capstone projects.
**CProject-1 Title:** `A business model possibility analysis based on customer feedback`
**Requirements**
>The 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.
**CProject-2 Title:** `Automation of Course Attainment Target fixation of First Year accademics using R`
>*Requirements*
The 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.
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## Day-2 - Data processing
- R libraries for data analytics
- Basic descriptive statistics
- visualization tools
- Probability distributions
- Inferential statistics
### Practical Example : Working with Survey data in R- Case study
Please fill up the form:
Link to the source file for fruit data analysis:
Address of datafile- https://raw.githubusercontent.com/sijuswamy/Data-Analytics-using-R/main/Fruit_data.csv
## Day-1: Introduction to R programming
- Introduction of R
- Installation
- R in cloud
- Basics of R programming
Link to external resources:
[R for Data sciences](https://bookdown.org/rdpeng/rprogdatascience/)
[R programming tutorial](https://bookdown.org/nguyenthieu2102/r_programming_tutorial/)