Exploratory Data Analytics and Data Visualization Lab

List of Practical

1. To get the input from user and perform numerical operations (MAX, MIN, AVG, SUM, SQRT, ROUND) using in R.
2. To perform data import/export (.CSV, .XLS, .TXT) operations using data frames in R.
3. To get the input matrix from user and perform Matrix addition, subtraction, multiplication, inverse transpose and division operations using vector concept in R
4. To perform statistical operations (Mean, Median, Mode and Standard deviation) using R
5. To perform data pre-processing operations i) Handling Missing data ii) Min-Max normalization.
6. To perform dimensionality reduction operation using PCA for Houses Data Set
7. To perform Simple Linear Regression with R..
8. To perform K-Means clustering operation and visualize for iris data set
9. Learn how to collect data via web-scraping, APIs and data connectors from suitable sources as specified by the instructor.
10. Perform association analysis on a given dataset and evaluate its accuracy