R Data Processing and Visualization

Author

Shubham Vats

Date

4/11/2023

Description

This repository contains R code to import a dataset and perform various operations like data processing and visualization on it.

Operations Performed

1. Select rows
2. Select columns
3. Create new columns
4. Perform computation
5. Merging
6. Apply functions on data
7. Counting
8. Visualization

Usage

1. Importing Dataset: The program imports a dataset named "DATA.csv" using the read.csv() function from the readxl package.
2. Selecting Rows and Columns: It selects specific rows and columns to display the names of food items available with the serial numbers provided.
3. Creating New Column: A new column named "Tvitamins" with NULL values is created.
4. Performing Computation: Computation is performed on the new column to count all the relevant nutrition contents in the data.
5. Data Visualization: The program generates a summary and scatterplot of the total number of vitamins in food samples.
6. Merging Columns: Two different columns are merged to get a better serial number combined with the ID of a product.
7. Counting Data: The total number of rows and columns in the dataset is counted.
8. Exporting Dataset: The dataset is exported into a new data file named "newdatasetcreated.csv" using the write.csv() function.

Instructions

1. Ensure that the dataset "DATA.csv" is present in the working directory.
2. Execute the R code provided to perform the desired operations on the dataset.
3. Review the output and visualizations generated to analyze the dataset.

Dependencies

• R programming language
• readxl package for importing datasets

License

This project is licensed under the MIT License - see the LICENSE file for details.