Python for Data Visualization: The Complete Masterclass

سرفصل های دوره

Transforming Data into Insights: A Comprehensive Guide to Python-based Data Visualization

1. Setup & Installation

1. Installing the Anaconda Navigator

2. Installing Matplotlib, seaborn & cufflinks

3. Reading data from a csv file with pandas

4. Explaining Matplotlib libraries

2. Plotting Line Plots with matplotlib

1. Changing the axis scales

2. Label Styling

3. Adding a legend

4. Adding a grid to the chart

5. Filling only a specific area

6. Filling area on line plots and filling only specific area

7. Changing fill color of different areas (negative vs positive for example)

3. Plotting Histograms & Bar Charts with matplotlib

1. Changing edge color and adding shadow on the edge

2. Adding legends, titles, location and rotating pie chart

3. Histograms vs Bar charts (Part 1)

4. Histograms vs Bar charts (Part 2)

5. Changing edge color of the histogram

6. Changing the axis scale to log scale

7. Adding median to histogram

8. Advanced Histograms and Patches (Part 1)

9. Advanced Histograms and Patches (Part 2)

10. Overlaying bar plots on top of each other (Part 1)

11. Overlaying bar plots on top of each other (Part 2)

12. Creating Box and Whisker Plots

4. Plotting Stack Plots & Stem Plots

1. Plotting a basic stack plot

2. Plotting a stem plot

3. Plotting a stack plot od data with constant total

5. Plotting Scatter Plots with matplotlib

1. Plotting a basic scatter plot

2. Changing the size of the dots

3. Changing colors of markers

4. Adding edges to dots

6. Time Series Data Visualization with matplotlib

1. Using the Python datetime module

2. Connecting data points by line

3. Converting string dates using the .to_datetime() pandas method

4. Plotting live data using FuncAnimation in matplotlib

7. Creating multiple subplots

1. Setting up the number of rows and columns

2. Plotting multiple plots in one figure

3. Getting separate figures

4. Saving figures to your computer

8. Plotting charts using seaborn

1. Introduction to seaborn

2. Working on hue, style and size in seaborn

3. Subplots using seaborn

4. Line plots

5. Cat plots

6. Jointplot, pair plot and regression plot

7. Controlling Plotted Figure Aesthetics

9. Plotly and Cufflinks

1. Installation and Setup

2. Line, Scatter, Bar, box and area plot

3. 3D plots, spread plot and hist plot, bubble plot, and heatmap

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تولید کننده: Udemy-Training