COVID19 Data Visualization Using Python

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48개의 평가
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학습자는 이 안내 프로젝트에서 다음을 수행하게 됩니다.

Learn to use visualization to answer to some analytical questions

Learn how to look at your data to find a good measure to stablish your analysis based upon

Learn to use Plotly module in python

Clock100 Minutes
Intermediate중급
Cloud다운로드 필요 없음
Video분할 화면 동영상
Comment Dots영어
Laptop데스크톱 전용

By the end of this project, you will learn How you can use data visualization techniques to answer to some analytical questions. in this project we are going to use COVID19 dataset we have consisting of the data related cumulative number of confirmed, recovered, and deaths cases. we are going to prepare this dataset to answer these questions: How does the Global Spread of the virus look like?, How intensive the spread of the virus has been in the countries? Does covid19 national lockdowns and self-isolations in different countries have actually impact on COVID19 transmission? we are going to use Plotly module, which is a great visualization tool in python, in order to plot some insightful and intuitive graphs to answer the questions.

개발할 기술

Python LibrariesData AnalysisPlotlyPandasData Visualization (DataViz)

단계별 학습

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

  1. Importing COVID19 dataset and preparing it for the analysis by dropping columns

  2. Using Choropleth map to Visualize Global Spread of COVID-19 from first day of the pandemic Deciding on and calculating a good measure for our analysis.

  3. Using a Bar chart to compare different countries in terms of How massive the Spread of the virus has been in there.

  4. Visualizing the impact of the national lockdown in Italy on the spread of the virus

  5. Visualizing the impact of the national lockdown in Italy on the deaths rate.

  6. Visualizing the impact of the national lockdown in Germany

안내형 프로젝트 진행 방식

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

분할 화면 동영상에서 강사가 프로젝트를 단계별로 안내해 줍니다.

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