Data Analytics and Visualization Lab

List of Experiments / Activities

1. DATA ANALYTICS AND VISUALIZATION LAB
2. 1To get the input from user and perform numerical operations (MAX, MIN, AVG, SUM, SQRT, ROUND) using in R.
3. 2To perform data import/export (.CSV, .XLS, .TXT) operations using data frames in R.
4. 3To get the input matrix from user and perform Matrix addition, subtraction, multiplication, inverse transpose and division operations using vector concept in R.
5. 4To perform statistical operations (Mean, Median, Mode and Standard deviation) using R.
6. 5To perform data pre-processing operations i) Handling Missing data ii) Min-Max normalization
7. 6To perform dimensionality reduction operation using PCA for Houses Data Set
8. 7To perform Simple Linear Regression with R.
9. 8To perform K-Means clustering operation and visualize for iris data set
10. 9Learn how to collect data via web-scraping, APIs and data connectors from suitable sources as specified by the instructor.
11. 10Perform association analysis on a given dataset and evaluate its accuracy.
12. 11Build a recommendation system on a given dataset and evaluate its accuracy.
13. 12Build a time-series model on a given dataset and evaluate its accuracy.
14. 13Build cartographic visualization for multiple datasets involving various countries of the world; states and districts in India etc.
15. 14Perform text mining on a set of documents and visualize the most important words in a visualization such as word cloud.
16. Note: The Instructor may add/delete/modify/tune experiments, wherever he/she feels in a justified manner It is also suggested that open source tools should be preferred to conduct the lab (R, Python etc. )