9.24 DDL: ALTER: ADD, MODIFY, DROP

9.25 DDL: DROP TABLE, TRUNCATE, DELETE

9.26 Data Control Language: Grant, Revoke

9.27 - Learning resources

#Module 10 : Plotting for exploratory data analysis (EDA)

Section 10 is divided into sub sections

👉 10.1 Introduction to IRIS dataset and 2D scatter plot

👉 10.2 3D scatter plot

👉 10.3 Pair plots

👉 10.4 Limitations of Pair Plots

👉 10.5 Histogram and Introduction to PDF(Probability Density Function)

👉 10.6 Univariate Analysis using PDF

👉 10.7 CDF(Cumulative Distribution Function)

👉 10.8 Mean, Variance and Standard Deviation

👉 10.9 Median

👉 10.10 Percentiles and Quantiles

👉 10.11 IQR(Inter Quartile Range) and MAD(Median Absolute Deviation)

👉 10.12 Box-plot with Whiskers

👉 10.13 Violin Plots

👉 10.14 Summarizing Plots, Univariate, Bivariate and Multivariate analysis

👉 10.15 Multivariate Probability Density, Contour Plot

👉 10.16 Assignment-1: Data Visualization with Haberman Dataset

10.1 Introduction to IRIS dataset and 2D scatter plot

10.2 3D scatter plot

10.3 Pair plots

10.4 Limitations of Pair Plots

10.5 Histogram and Introduction to PDF(Probability Density Function)

10.6 Univariate Analysis using PDF

10.7 CDF(Cumulative Distribution Function)

10.8 Mean, Variance and Standard Deviation

10.9 Median

10.10 Percentiles and Quantiles

10.11 IQR(Inter Quartile Range) and MAD(Median Absolute Deviation)

10.12 Box-plot with Whiskers

10.13 Violin Plots

10.14 Summarizing Plots, Univariate, Bivariate and Multivariate analysis

10.15 Multivariate Probability Density, Contour Plot

10.16 Assignment-1: Data Visualization with Haberman Dataset