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DataCamp for Business 체험강의 설명
선수 조건
Introduction to Data Visualization with Plotly in PythonData Manipulation with pandas1
From Plotly to Dash
Take Plotly to the next level with Dash. After briefly revising Plotly, you'll dive straight into building your first Dash app. You'll then get your first taste of HTML and how Dash harnesses this vital web development language to structure larger Dash apps. Finally, you'll put all this together in your first multi-graph dashboard for a global e-commerce organization.
2
Styling Dash Apps
Take control of the elements in your Dash apps with HTML and CSS. Learn what each of these is and how they are at the core of modern web development, then incorporate their powerful abilities in your Dash apps to change the size, color, and placement of your objects.
3
Interactivity with Callbacks and Components
Turn your Dash apps into user-driven experiences by mastering interactive components. Learn how to include dropdowns, date pickers, and event free text fields to modify elements on your Dash apps and build truly self-service dashboards your users can explore.
4
Advanced Dash Apps
Unleash the full power of Dash app interactivity by triggering changes to one graph when a user clicks on or hovers over, another graph. Additionally, you'll learn the basics of Dash's AG Grid module for creating tables that can be easily filtered, sorted, and paginated; as well as trigger changes in other graphs as well.
Dash와 Plotly로 대시보드 만들기
강의 완료
DataCamp for Mobile을 통해 데이터 분석 능력을 향상시키세요.
모바일 강좌와 매일 5분 코딩 챌린지를 통해 이동 중에도 학습 효과를 높이세요.