Learn · Exploratory Data Analysis for Data Science with R Software (English)

Lecture 10 of 57Week 2

Lecture 9 : Introduction to Exploratory Data Analysis - Objectives, Steps and Basic Definitions

Prof. Shalabh · IIT Kanpur

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Exploratory Data Analysis for Data Science with R Software (English), IIT Kanpur (at NPTEL)
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All the lectures

  1. Lecture 0 : How to Learn and Follow the Course Video
  2. Lecture 1 : Data Science- Why, What and How? Video
  3. Lecture 2 : Introduction to R Software Video
  4. Lecture 3 : Calculations with R Software - Basics and R as a Calculator Video
  5. Lecture 4 : Calculations with R Software - Calculations with Data Vectors Video
  6. Lecture 5 : Calculations with R Software - Built-in Commands and Missing Data Handling Video
  7. Lecture 6 : Calculations with R Software - Operations with Matrices Video
  8. Lecture 7 : Data Preparation - CSV and TXT Data Files Video
  9. Lecture 8 : Data Preparation - Excel Files and Data Frame Video
  10. Lecture 9 : Introduction to Exploratory Data Analysis - Objectives, Steps and Basic Definitions Video
  11. Lecture 10 : Introduction to Exploratory Data Analysis - Variables and Types of Data Video
  12. Lecture 11 : Frequency Distribution - Absolute, Relative and Cumulative Frequencies of Attribute and Discrete Data Video
  13. Lecture 12 : Frequency Distribution - Absolute, Relative and Cumulative Frequencies of Continuous Data Video
  14. Lecture 13 : Frequency Distribution - Frequency Distribution with R Package Video
  15. Lecture 14 : Univariate Graphics and Plots - Bar Diagrams Video
  16. Lecture 15 : Univariate Graphics and Plots - Subdivided Bar Plots and Pie Diagrams Video
  17. Lecture 16 : Univariate Graphics and Plots - 3D Pie Diagram and Tree Map Video
  18. Lecture 17 : Univariate Graphics and Plots - Histogram, Kernel Density and Stem–Leaf Plots Video
  19. Lecture 18 : Univariate Graphics and Plots - Graphics with ggplot2 Package Video
  20. Lecture 19 : Univariate Graphics and Plots - Creating Graphics with ggplot2 Package Video
  21. Lecture 20 : Univariate Graphics and Plots - Bar Diagram and Tree Map with ggplot2 Video
  22. Lecture 21 : Univariate Graphics and Plots - Grouped Bar and Scatter Diagrams with ggplot2 Package Video
  23. Lecture 22 : Univariate Graphics and Plots - Histogram, Dot Chart and Kernel Density Plots with ggplot2 Video
  24. Lecture 23 : Central Tendency of Data- Arithmetic Mean Video
  25. Lecture 24 : Central Tendency of Data- Median Video
  26. Lecture 25 : Central Tendency of Data- Quantiles Video
  27. Lecture 26 : Central Tendency of Data- Mode Video
  28. Lecture 27 : Central Tendency of Data- Geometric Mean and Harmonic Mean Video
  29. Lecture 28 : Variation in Data- Range, Interquartile Range and Quartile Deviation Video
  30. Lecture 29 : Variation in Data- Absolute Deviation and Absolute Mean Deviation Video
  31. Lecture 30 : Variation in Data- Mean Squared Error, Variance and Standard Deviation Video
  32. Lecture 31 : Variation in Data- Computation of Variance and Standard Error with R Video
  33. Lecture 32 : Variation in Data- Coefficient of Variation and Summary Video
  34. Lecture 33 : Variation in Data- Box Plots and Violin Plots Video
  35. Lecture 34 : Moments- Raw, Central and Absolute Moments Video
  36. Lecture 35 : Moments- Computation of Moments in R Video
  37. Lecture 36 : Moments - Skewness and Kurtosis Video
  38. Lecture 37 : Scaling of Data - Centering, Scaling and Z-Scores Video
  39. Lecture 38 : Association of Variables - Scatter and Smooth Scatter Plots Video
  40. Lecture 39 : Association of Variables - Line Chart, Time Series Plot and Bubble Chart Video
  41. Lecture 40 : Association of Variables : Quantile - Quantile Plot Video
  42. Lecture 41 : Association of Variables : Three-Dimensional Plots, Heat Maps and Word Cloud Video
  43. Lecture 42 : Association of Variables : Correlation Coefficient Video
  44. Lecture 43 : Association of Variables : Correlation Coefficient using R Software Video
  45. Lecture 44 : Association of Variables : Rank Correlation Coefficient Video
  46. Lecture 45 : Association of Variables : Measures of Association for Discrete and Counting Variables: Bivariate Frequency and Contingency Tables 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 Video
  48. Lecture 47 : Modelling of Variables : Least Squares Method – One Variable Video
  49. Lecture 48 : Modelling of Variables : Least Squares Method –More than One Variable and R Commands Video
  50. Lecture 49 : Handling Text Data : Basic Operations with Text and Strings Video
  51. Lecture 50 : Handling Text Data : Operations for Finding Patterns in Text Data with Pipe Operator Video
  52. Lecture 51 : Handling Text Data : Operations for Finding Patterns in Text Data without Pipe Operator Video
  53. Lecture 52 : Handling Text Data : Analysis of Text Data – Frequency & Plots Video
  54. Lecture 53 : Selection of Sample : Simple Random Sampling Video
  55. Lecture 54 : Selection of Sample : Simple Random Sampling with R Video
  56. Lecture 55 : EDA with Multivariate Data : Sum and Mean Vectors Video
  57. Lecture 56 : EDA with Multivariate Data : Covariance and Correlation Matrices Video