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Data Science: The Complete Data Visualization Solutions Course
Section 1 Welcome
Lecture 1 Welcome (1:53)
Lecture 2 Importing Data from CSV (4:39)
Lecture 3 Importing Data from Microsoft Excel Files (4:44)
Lecture 4 Importing Data from Fix-Width Files (3:05)
Lecture 5 Importing Data from Tab Delimited Files (2:23)
Lecture 6 Importing Data from a JSON Resource (5:16)
Lecture 7 Importing Data from a Database (5:05)
Lecture 8 Cleaning Up Data from Outliers (5:55)
Lecture 9 Importing Image Data into NumPy Arrays (6:00)
Lecture 10 Generating Controlled Random Datasets (6:34)
Lecture 11 Smoothing Noise in Real-World Data (4:45)
Section 2 Drawing Your First Plots and Customizing Them
Lecture 12 Drawing Your First Plots and Customizing Them (7:53)
Lecture 13 Defining Axis Lengths and Limits (5:15)
Lecture 14 Defining Plot Line Styles, Properties, and Format Strings (1:57)
Lecture 15 Setting Ticks, Labels, and Grids (2:42)
Lecture 16 Adding Legends and Annotations (2:31)
Lecture 17 Moving Spines to Center (1:20)
Lecture 18 Making Histograms (3:58)
Lecture 19 Making Bar Charts with Error Bars (3:22)
Lecture 20 Making Pie Charts Count (1:57)
Lecture 21 Plotting with Filled Areas (1:55)
Lecture 22 Drawing Scatter Plots with Colored Markers (2:11)
Section 3 More Plots and Customizations
Lecture 23 Adding a Shadow to the Chart Line (3:53)
Lecture 24 Adding a Data Table to the Figure (2:26)
Lecture 25 Using Subplots (3:56)
Lecture 26 Customizing Grids (3:03)
Lecture 27 Creating Contour Plots (3:21)
Lecture 28 Filling an Under-Plot Area (1:59)
Lecture 29 Drawing Polar Plots (2:55)
Lecture 30 Visualizing the filesystem Tree Using a Polar Bar (3:01)
Section 4 Making 3D Visualizations
Lecture 31 Creating 3D Bars (5:32)
Lecture 32 Creating 3D Histograms (3:11)
Lecture 33 Animating with OpenGL (6:01)
Section 5 Plotting Charts with Images and Maps
Lecture 34 Plotting with Images (6:16)
Lecture 35 Displaying Images with Other Plots in the Figure (3:51)
Lecture 36 Plotting Data on a Map Using Basemap (5:22)
Lecture 37 Generating CAPTCHA (6:36)
Section 6 Using Right Plots to Understand Data
Lecture 38 Understanding Logarithmic Plots (5:18)
Lecture 39 Creating a Stem Plot (4:18)
Lecture 40 Drawing Streamlines of Vector Flow (3:27)
Lecture 41 Using Colormaps (5:15)
Lecture 42 Using Scatter Plots and Histograms (4:27)
Lecture 43 Plotting the Cross Correlation Between Two Variables (3:25)
Lecture 44 The Importance of Autocorrelation (4:09)
Section 7 More on matplotlib Gems and Summary
Lecture 45 Drawing Barbs (6:24)
Lecture 46 Making a Box-and-Whisker Plot (3:36)
Lecture 47 Making Gantt Charts (3:49)
Lecture 48 Making Error Bars (4:40)
Lecture 49 Making Use of Text and Font Properties (3:59)
Lecture 50 Understanding the Difference between pyplot and OO API (5:09)
Working Files
Working Files
Lecture 22 Drawing Scatter Plots with Colored Markers
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