# Exploratory Data Analysis for Data Science with R Software (English)

- Institution: IIT Kanpur
- Department: Computer Science and Engineering
- Teacher: Prof. Shalabh
- Level: Undergraduate
- Language: English
- Subjects: Computer science, Engineering
- Source: [NPTEL](https://nptel.ac.in/courses/106104846)
- Licence: [CC BY-NC-SA](https://nptel.ac.in/faq) (Non-commercial use only.)
- Syllabus: [at the source](https://nptel.ac.in/courses/106104846)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

## Lectures

1. [Lecture 0 : How to Learn and Follow the Course](https://invisiblenetwork.ai/learn/nptel/106104846/3019c9d12a6e) (Video)
2. [Lecture 1 : Data Science- Why, What and How?](https://invisiblenetwork.ai/learn/nptel/106104846/ac50af9f0e9a) (Video)
3. [Lecture 2 : Introduction to R Software](https://invisiblenetwork.ai/learn/nptel/106104846/5183bbb779a8) (Video)
4. [Lecture 3 : Calculations with R Software - Basics and R as a Calculator](https://invisiblenetwork.ai/learn/nptel/106104846/133df1aee9d6) (Video)
5. [Lecture 4 : Calculations with R Software - Calculations with Data Vectors](https://invisiblenetwork.ai/learn/nptel/106104846/3b14367666ec) (Video)
6. [Lecture 5 : Calculations with R Software - Built-in Commands and Missing Data Handling](https://invisiblenetwork.ai/learn/nptel/106104846/9e49766a3dc4) (Video)
7. [Lecture 6 : Calculations with R Software - Operations with Matrices](https://invisiblenetwork.ai/learn/nptel/106104846/e9eb2b86288e) (Video)
8. [Lecture 7 : Data Preparation - CSV and TXT Data Files](https://invisiblenetwork.ai/learn/nptel/106104846/581d572fd7c9) (Video)
9. [Lecture 8 : Data Preparation - Excel Files and Data Frame](https://invisiblenetwork.ai/learn/nptel/106104846/ec7e62d55287) (Video)
10. [Lecture 9 : Introduction to Exploratory Data Analysis - Objectives, Steps and Basic Definitions](https://invisiblenetwork.ai/learn/nptel/106104846/8ea84b448f79) (Video)
11. [Lecture 10 : Introduction to Exploratory Data Analysis - Variables and Types of Data](https://invisiblenetwork.ai/learn/nptel/106104846/5a7770d16eb2) (Video)
12. [Lecture 11 : Frequency Distribution - Absolute, Relative and Cumulative Frequencies of Attribute and Discrete Data](https://invisiblenetwork.ai/learn/nptel/106104846/c1b79f6801d5) (Video)
13. [Lecture 12 : Frequency Distribution - Absolute, Relative and Cumulative Frequencies of Continuous Data](https://invisiblenetwork.ai/learn/nptel/106104846/23a3c90db271) (Video)
14. [Lecture 13 : Frequency Distribution - Frequency Distribution with R Package](https://invisiblenetwork.ai/learn/nptel/106104846/f05ab3e08d4d) (Video)
15. [Lecture 14 : Univariate Graphics and Plots - Bar Diagrams](https://invisiblenetwork.ai/learn/nptel/106104846/84897b3decd2) (Video)
16. [Lecture 15 : Univariate Graphics and Plots - Subdivided Bar Plots and Pie Diagrams](https://invisiblenetwork.ai/learn/nptel/106104846/7d267ffea9f0) (Video)
17. [Lecture 16 : Univariate Graphics and Plots - 3D Pie Diagram and Tree Map](https://invisiblenetwork.ai/learn/nptel/106104846/eba06dab2608) (Video)
18. [Lecture 17 : Univariate Graphics and Plots - Histogram, Kernel Density and Stem–Leaf Plots](https://invisiblenetwork.ai/learn/nptel/106104846/3bfa2f3f51b9) (Video)
19. [Lecture 18 : Univariate Graphics and Plots - Graphics with ggplot2 Package](https://invisiblenetwork.ai/learn/nptel/106104846/9ed927494172) (Video)
20. [Lecture 19 : Univariate Graphics and Plots - Creating Graphics with ggplot2 Package](https://invisiblenetwork.ai/learn/nptel/106104846/1b379fc8f13c) (Video)
21. [Lecture 20 : Univariate Graphics and Plots - Bar Diagram and Tree Map with ggplot2](https://invisiblenetwork.ai/learn/nptel/106104846/e5f9b31baa87) (Video)
22. [Lecture 21 : Univariate Graphics and Plots - Grouped Bar and Scatter Diagrams with ggplot2 Package](https://invisiblenetwork.ai/learn/nptel/106104846/8587afad6e2b) (Video)
23. [Lecture 22 : Univariate Graphics and Plots - Histogram, Dot Chart and Kernel Density Plots with ggplot2](https://invisiblenetwork.ai/learn/nptel/106104846/1f1e03136419) (Video)
24. [Lecture 23 : Central Tendency of Data- Arithmetic Mean](https://invisiblenetwork.ai/learn/nptel/106104846/abad6eb05066) (Video)
25. [Lecture 24 : Central Tendency of Data- Median](https://invisiblenetwork.ai/learn/nptel/106104846/8220100822f3) (Video)
26. [Lecture 25 : Central Tendency of Data- Quantiles](https://invisiblenetwork.ai/learn/nptel/106104846/d2820e9d4b85) (Video)
27. [Lecture 26 : Central Tendency of Data- Mode](https://invisiblenetwork.ai/learn/nptel/106104846/fbda9399e086) (Video)
28. [Lecture 27 : Central Tendency of Data- Geometric Mean and Harmonic Mean](https://invisiblenetwork.ai/learn/nptel/106104846/ee5a8272b897) (Video)
29. [Lecture 28 : Variation in Data- Range, Interquartile Range and Quartile Deviation](https://invisiblenetwork.ai/learn/nptel/106104846/526d5b05f0a5) (Video)
30. [Lecture 29 : Variation in Data- Absolute Deviation and Absolute Mean Deviation](https://invisiblenetwork.ai/learn/nptel/106104846/22252755723f) (Video)
31. [Lecture 30 : Variation in Data- Mean Squared Error, Variance and Standard Deviation](https://invisiblenetwork.ai/learn/nptel/106104846/4b9af547b9e5) (Video)
32. [Lecture 31 : Variation in Data- Computation of Variance and Standard Error with R](https://invisiblenetwork.ai/learn/nptel/106104846/d34cb72b1246) (Video)
33. [Lecture 32 : Variation in Data- Coefficient of Variation and Summary](https://invisiblenetwork.ai/learn/nptel/106104846/553f9d6a8473) (Video)
34. [Lecture 33 : Variation in Data- Box Plots and Violin Plots](https://invisiblenetwork.ai/learn/nptel/106104846/d565371ce6f7) (Video)
35. [Lecture 34 : Moments- Raw, Central and Absolute Moments](https://invisiblenetwork.ai/learn/nptel/106104846/f01666bed204) (Video)
36. [Lecture 35 : Moments- Computation of Moments in R](https://invisiblenetwork.ai/learn/nptel/106104846/bf9a31bd0768) (Video)
37. [Lecture 36 : Moments - Skewness and Kurtosis](https://invisiblenetwork.ai/learn/nptel/106104846/0c0ee568fb01) (Video)
38. [Lecture 37 : Scaling of Data - Centering, Scaling and Z-Scores](https://invisiblenetwork.ai/learn/nptel/106104846/50de2c659d9b) (Video)
39. [Lecture 38 : Association of Variables - Scatter and Smooth Scatter Plots](https://invisiblenetwork.ai/learn/nptel/106104846/3210c6c5bb3b) (Video)
40. [Lecture 39 : Association of Variables - Line Chart, Time Series Plot and Bubble Chart](https://invisiblenetwork.ai/learn/nptel/106104846/2585cbdd4fc7) (Video)
41. [Lecture 40 : Association of Variables : Quantile - Quantile Plot](https://invisiblenetwork.ai/learn/nptel/106104846/dd0c80f72d3b) (Video)
42. [Lecture 41 : Association of Variables : Three-Dimensional Plots, Heat Maps and Word Cloud](https://invisiblenetwork.ai/learn/nptel/106104846/3a450d36370e) (Video)
43. [Lecture 42 : Association of Variables : Correlation Coefficient](https://invisiblenetwork.ai/learn/nptel/106104846/3ae8f260875b) (Video)
44. [Lecture 43 : Association of Variables : Correlation Coefficient using R Software](https://invisiblenetwork.ai/learn/nptel/106104846/0cac47d7861e) (Video)
45. [Lecture 44 : Association of Variables : Rank Correlation Coefficient](https://invisiblenetwork.ai/learn/nptel/106104846/42750d46a4e4) (Video)
46. [Lecture 45 : Association of Variables : Measures of Association for Discrete and Counting Variables: Bivariate Frequency and Contingency Tables](https://invisiblenetwork.ai/learn/nptel/106104846/974bb3fe7458) (Video)
47. [Lecture 46 : Association of Variables : Measures of Association for Discrete and Counting Variables with R Commands: Contingency Table, Chi-Squared Statistic, Cramer‘s V Statistic and Contingency Coefficient](https://invisiblenetwork.ai/learn/nptel/106104846/9bbf96786b21) (Video)
48. [Lecture 47 : Modelling of Variables : Least Squares Method – One Variable](https://invisiblenetwork.ai/learn/nptel/106104846/7789440771e7) (Video)
49. [Lecture 48 : Modelling of Variables : Least Squares Method –More than One Variable and R Commands](https://invisiblenetwork.ai/learn/nptel/106104846/7d6623fde2ce) (Video)
50. [Lecture 49 : Handling Text Data : Basic Operations with Text and Strings](https://invisiblenetwork.ai/learn/nptel/106104846/2c6204a9ac46) (Video)
51. [Lecture 50 : Handling Text Data : Operations for Finding Patterns in Text Data with Pipe Operator](https://invisiblenetwork.ai/learn/nptel/106104846/0583ab814683) (Video)
52. [Lecture 51 : Handling Text Data : Operations for Finding Patterns in Text Data without Pipe Operator](https://invisiblenetwork.ai/learn/nptel/106104846/42cc6bdc1642) (Video)
53. [Lecture 52 : Handling Text Data : Analysis of Text Data – Frequency & Plots](https://invisiblenetwork.ai/learn/nptel/106104846/f9912ded4be7) (Video)
54. [Lecture 53 : Selection of Sample : Simple Random Sampling](https://invisiblenetwork.ai/learn/nptel/106104846/1316942bcf1f) (Video)
55. [Lecture 54 : Selection of Sample : Simple Random Sampling with R](https://invisiblenetwork.ai/learn/nptel/106104846/389504223bfe) (Video)
56. [Lecture 55 : EDA with Multivariate Data : Sum and Mean Vectors](https://invisiblenetwork.ai/learn/nptel/106104846/211a70f3f3e5) (Video)
57. [Lecture 56 : EDA with Multivariate Data : Covariance and Correlation Matrices](https://invisiblenetwork.ai/learn/nptel/106104846/f5f83760f3f5) (Video)