Covid-19 Death Medical Analysis & Visualization using Plotly

提供方
在此指導項目中,您將:

Analyze and Visualize the current global scenario of Covid-19 using bar graphs, scatter plots and choropleth maps in Plotly express

Analyze and visualize  various medical conditions contributing to death due to Covid using Plotly express and Wordcloud text visualization

1.5 hours
初級
無需下載
分屏視頻
英語(English)
僅限桌面

In this 2-hour long project-based course, you will learn how to build bar graphs, scatter plots, Choropleth maps and Wordcloud to analyze and visualize the global scenario of Covid-19 and perform medical analysis to various conditions that contribute to death due to Covid-19. We will be using two separate datasets for this guided project. The first dataset has been taken from worldometer and the second one has been made available by the Centers for Disease Control and Prevention (CDC), United States. We will be using Python as our Programming language and Google Colab as our notebook. It is required for you to have a Gmail Account for this project. It is recommended to have some experience in the Python programming language but even if you do not have any prior experience in Python programming or medical science, you will be able to complete this project. This project is beginner-friendly. We will visualize the current global scenario of Covid-19 using bar graphs and scatter plots followed by geographical data visualization using Choropleth maps. Then we will dive into medical analysis. We will then visualize how Covid deaths vary with respect to age group and how various pre-existing medical conditions vary with age. Then we will visualize and analyze how various medical conditions contribute to Covid death. We will also compare the performance of all the 50 states in the US against Covid. In the final task, we will finish by creating WordCloud text visualization of various medical conditions and condition groups that contribute to Covid deaths. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

您要培養的技能

  • Data Visualization (DataViz)

  • medical data analysis using python

  • Wordcloud text visualization

  • plotly express

  • choropleth maps

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

  1. Importing all the necessary Libraries

  2. Importing the Worldometer Dataset and Exploring it

  3. Geographical Data Visualization using Choropleth maps

  4. Importing and Exploring the Medical Dataset

  5. Visualizing the Medical Data - Covid Deaths & Conditions Vs Age

  6. Visualizing the Medical Data - Medical Conditions vs Covid Death

  7.  WordCloud Text Visualization

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

常見問題

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由於您的工作空間包含適合筆記本電腦或台式計算機使用的雲桌面,因此指導項目不在移動設備上提供。

指導項目授課教師是特定領域的專家,他們在項目的技能、工具或領域方面經驗豐富,並且熱衷於分享自己的知識以影響全球數百萬的學生。

您可以從指導項目中下載並保留您創建的任何文件。為此,您可以在訪問云桌面時使用‘文件瀏覽器’功能。

指導項目不符合退款條件。 請查看我們完整的退款政策

指導項目不提供助學金。

指導項目不支持旁聽。

您可在頁面頂部點按此指導項目的經驗級別,查看任何知識先決條件。對於指導項目的每個級別,您的授課教師會逐步為您提供指導。

是,您可以在瀏覽器的雲桌面中獲得完成指導項目所需的一切。

您可以直接在瀏覽器中於分屏環境下完成任務,以此從做中學。在屏幕的左側,您將在工作空間中完成任務。在屏幕的右側,您將看到有授課教師逐步指導您完成項目。

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