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Intermediate Python1
Introduction to Plotly
Enter the world of Plotly! In this first chapter, you’ll learn different ways to create plots and receive an introduction to univariate plots. You’ll then build several popular plot types, including box plots and histograms, and discover how to style them using the Plotly color options.
2
Customizing Plots
Add to your Plotly toolkit as you explore and implement bivariate plots. Next, you’ll explore how to customize your plots to make them look amazing with annotations, hover information, legends, and custom axis titles and scales.
3
Advanced Customization
Take your Plotly graphs to the next level with more advanced customizations. Through hands-on exercises, you'll learn how to layer multiple interactive chart types in the same plot (such as a bar chart with a line chart over the top). You'll then create time-series selectors, such as year to date (YTD), to help you zoom in and out of your line charts.
4
Advanced Interactivity
In this final chapter, you'll harness Plotly's advanced user interactivity as you learn how to create buttons, dropdowns, and sliders that change everything from graph types to annotations and much more. Take your Plotly skills to the next level and build truly interactive user experiences.
Python으로 배우는 Plotly 데이터 시각화 입문
강의 완료
DataCamp for Mobile을 통해 데이터 분석 능력을 향상시키세요.
모바일 강좌와 매일 5분 코딩 챌린지를 통해 이동 중에도 학습 효과를 높이세요.