Overview
This course covers Plotly, a tool for creating static and animated charts, with real-world examples. The learning outcomes include mastering the Plotly API, creating various types of plots such as line plots, scatter plots, pie charts, histograms, and 3D plots, and utilizing advanced features like styling, querying data, and creating animated plots. The course teaches skills in data visualization, data analysis, and chart creation using Plotly. The intended audience for this course is individuals interested in data science, machine learning, and data visualization, looking to enhance their skills in creating interactive and visually appealing plots for data analysis and presentation. The teaching method involves a tutorial format with practical examples and demonstrations to help learners understand and apply Plotly effectively.
Syllabus
Intro.
What is Plotly?.
Installation.
Imports.
Basics.
Line Plots.
Built-in Datasets.
Multiple Plots.
Styling Plots.
Style Grids.
Query Data.
Scatter Plots.
Pie Charts.
Colormaps.
Histograms.
Box Plots.
Violin Plots.
Density Heatmap.
3D Scatter Plots.
3D Line Plots.
Scatter Matrix.
Map Scatter Plot.
Choropleth Maps.
Polar Chart.
Ternary Plot.
Facets.
Animated Plots.
Taught by
Derek Banas