LogoLogo
  • About DS Learn
  • Tutorials
    • ¶ Digital Exhibits
      • Getting Started with Digital Exhibits
        • Considerations
        • Basic Steps
          • Site Organization
          • Usability & Accessibility
        • Platforms
    • ¶ Digital Storytelling
      • Introduction to ArcGIS StoryMaps
        • Getting Started
        • Using Content Blocks
        • Importing Maps from David Rumsey
      • Introduction to KnightLab StoryMap JS
      • TimelineJS
    • ¶ 3D Modeling & Immersive Technology
      • Adding 3D Models in Omeka
      • Intro to Photo Processing with Agisoft Metashape for 3D Model Making
      • Tips and Tricks for Taking Photos for 3D Model Creation
      • An Introduction to Apple's Reality Composer AR
      • Importing SketchFab Models into AR for the iPad or iPhone
      • Creating Basic 3D Objects for AR in Blender
      • Introduction to Meshlab
    • ¶ Data Visualization
      • Introduction to Tableau
        • Download and Install Tableau
        • Using Tableau to Visualize COVID-19 Data
        • Tableau DH
        • Resources
      • Beyond Simple Chart in Tableau
        • Beyond Simple chart Examples
      • Google Colab
        • Get Started
        • Data Import
        • Data Wangling
        • Visualization
        • Results Export
      • Out of Box Data Visualization Tools
        • How to use Google Data Studio with Google Sheets
        • Google Data Studio Interface
        • Creating Visualizations in Google Data Studio
    • ¶ Mapping
      • Tiling High-Resolution Images for Knightlab StoryMapJS
      • Hosting and Displaying Zoomable Images on Your Webpage
      • Georectifying Historical Maps using MapWarper
      • Making a Starter Map using Leaflet
    • ¶ REST API
      • How does REST API work?
      • JSON File
      • Get Started with Google Sheets Script Editor
      • Example 1: Extract Data by One Cell
      • Example 2: Extract Data by A Cell Range
    • ¶ Text Analysis
      • Introduction to Text Analysis
        • Step 1: Exercise One
        • Step 2: What is Text Analysis?
        • Step 3: Important Considerations
        • Step 4: Why Voyant and Lexos?
        • Step 5: Exercise Two
      • Text Repositories
      • Text Analysis in JSTOR
        • Overview of Constellate
        • Build A Dataset
        • Create A Stopwords List
        • Word Frequency
  • Digital Scholarship Incubator
    • Schedule
    • Getting Started
    • People
    • Project Guidelines
    • Topics
      • 3D Modeling and Immersive Technologies
        • Part 1: 3D Photogrammetry & Laser Scanning
          • Exercise: Experiment with 3D creation tools
        • Part 2: An Introduction to Apple's Reality Composer AR
          • Exercise: Experiment with Apple RealityComposer AR
      • Anatomy of a DS Project
        • Parts of a DS Project
        • Some DS Project Examples
        • Exercise: Evaluating a DS Project
      • Pedagogy
      • Data and Data Visualization
        • Introduction to Data
        • Introduction to Data Visualization
        • Introduction to Tableau
          • Download and Install Tableau
        • Introduction to Network Visualization
      • Digital Exhibits
        • Exercise 1: Exploring Exhibits
        • Exercise 2: Exhibit.so
      • DS Intro & Methodologies
      • User Experience
        • Usability Exercise
      • Mapping and GIS
        • An Introduction to Mapping, GIS and Vector Data
          • Workshop: Exploring and Creating Vector Data
          • Quick Review: Spatial Data
        • An Introduction to Raster Data and Georeferencing Historical Maps
          • Workshop: Finding and Georeferencing an Historical Map
          • Tutorial: Georectifying Historical Maps using MapWarper
        • Presentation + Workshop: Putting it together in ArcGIS Online
        • Workshop: A Brief Introduction to QGIS
          • Adding Base-maps and Raster Data
          • Adding and Creating Basic Vector Data
          • Styling your data and preparing it for exporting
      • Story Maps
        • Story Map Exercise
      • Text Analysis
        • Exercise 1: Voyant
        • Exercise 2: Python
Powered by GitBook
On this page
  • Download the Data
  • Connect to Data Source
  • Creating Views and Analysis
  • Create an interactive dashboard

Was this helpful?

Export as PDF
  1. Tutorials
  2. ¶ Data Visualization
  3. Introduction to Tableau

Using Tableau to Visualize COVID-19 Data

PreviousDownload and Install TableauNextTableau DH

Last updated 4 years ago

Was this helpful?

The contains resources to help people visualize and analyze the most recent data on the coronavirus outbreak.

In this tutorial, we will learn:

  1. How to connect data to Tableau

  2. How to create worksheets

  3. How to create an interactive dashboard

  4. How to save and publish your visualization

Download the Data

In this tutorial, we will work the COVID-19 data from the European Centre for Disease Prevention and Control website.

Data preview in Excel:

The data fields are described below:

Connect to Data Source

Startup Tableau desktop, you will get the start page showing various data sources. Under the “Connect” on the left side of the screen, you have options to connect to a file or server data source. Under to a File, choose Text file. Then navigate to the CSV file you just download from the last step:

Creating Views and Analysis

At the bottom of the Tableau desktop, click on a sheet (sheet 1) and you will see the following screen:

Tableau automatically separates the data into Dimensions and Measures. Dimensions are the categorical fields. Measures are the quantitative fields, such as death count, positive cases count

We will create a bar chart tracking number of new positive cases per day. Drag “People Positive New Cases” from Measures and drop it into the “Rows” section. Drag" Report Date" from Dimensions to "Columns". Select “Days” from the shortcut menu.

Note that it defaults to YEAR(Date). To format how the date is displayed, right-click on YEAR(Date) and select Day, specifically the option that has the example "8th May, 2015".

We can also add some filters to the bar chart so that a user could filter to see a certain country or date range. From Dimensions, drag Country Short Name to the Filters shelf. Click on All and then OK.

Next, right-click on the Country Short Name on the Filters shelf and select Show Filter. Now you will see a list of countries on the right.

Double click on Sheet 1, rename the worksheet title to "New Positive Cases"

Next, we will create a map. First, open a new workbook, double click "Country Short Name", Tableau has placed the longitude and latitude coordinates in the columns and rows, respectively, a point map will show on the design canvas.

Drag and drop "People Positive Cases Count" to Size under Marks.

Double click on Sheet 2, rename the worksheet title to "New Positive Cases by Country"

Now we will create the third worksheet, open a new worksheet.

We’ll create a vertical bar chart tracking confirmed case per country.

Drag “People Positive Cases Count” from measures and drop it into the “Columns” section. Drag Country Short Name from Dimensions to "Measures".

Go to the bottom of the chart and click on the sorting icon. Sort the number of positive cases in descending order.

Go to Marks, you customize the chart color by using the color pilates.

Name the worksheet “Positive Cases by Country.”

​

Create an interactive dashboard

Let’s create a dashboard to pull all of these visualizations together. The dashboard will combine our three visuals we have made in the previous steps. Click on the new dashboard icon at the bottom of the page to create a new dashboard.

Our three worksheets are on the left. Drag “worksheet 1" into the drop area on the right.

Combine 3 worksheets:

Tableau COVID-19 Data Hub