Data Visualization using Plotnine and ggplot

제공자:
Coursera Project Network
학습자는 이 안내 프로젝트에서 다음을 수행하게 됩니다.

Learn the basics of Exploratory Data Analysis and Plotnine-ggplot

Visualize data through simple as well as multi line plots using plotnine and ggplot

Visualize data through Density plot and Histogram using plotnine and ggplot

Clock1.5 hours
Intermediate중급
Cloud다운로드 필요 없음
Video분할 화면 동영상
Comment Dots영어
Laptop데스크톱 전용

Welcome to this 1.5 hour long guided project on Data Visualization using Plotnine and ggplot. Plotnine library is a powerful python visualization library based on R's ggplot2 package and a great package to make professional plots. It has the grammar of graphics from ggplot and is used to add layers that control geometries, facets, themes and many constructs. In this project you will learn how to create beautiful visualizations using plotnine and gglot constructs. This guided project is for anyone who wants to learn data visualization or already in the data science field.

개발할 기술

  • Python Programming
  • Pandas
  • Ggplot2
  • Data Visualization (DataViz)
  • Plotnine

단계별 학습

작업 영역이 있는 분할 화면으로 재생되는 동영상에서 강사는 다음을 단계별로 안내합니다.

  1. Learner Task 1 : You will be able to learn the basics of Exploratory Data Analysis, Plotnine-ggplot and install it on your colab notebook

  2. Learner Task 2 : You will be able to learn how to import necessary libraries and visualize data through simple as well as multi line plots using plotnine and ggplot

  3. Learner Task 3 : You will be able to visualize data through bar plot and Scatter plot using plotnine and ggplot

  4. Learner Task 4 : You will be able to visualize data through Density plot and Histogram using plotnine and ggplot

  5. Leaner Task 5 : You will be able to visualize data through Box plot and Violin plot using plotnine and ggplot

안내형 프로젝트 진행 방식

작업 영역은 브라우저에 바로 로드되는 클라우드 데스크톱으로, 다운로드할 필요가 없습니다.

분할 화면 동영상에서 강사가 프로젝트를 단계별로 안내해 줍니다.

자주 묻는 질문

자주 묻는 질문

궁금한 점이 더 있으신가요? 학습자 도움말 센터를 방문해 보세요.