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The Fundamentals of Data-driven Storytelling
The Fundamentals of Data-driven Storytelling
  • About this course
    • Course Introduction
  • Module 1 - Find
    • 1.1 How to Find Data for Storytelling and journalism
      • Starting with a question
      • Open data portals and platforms
      • Other sources of data
    • 1.2 How to get better data from a Goolge Search
      • Searching for filetypes and formats
      • More on Advanced Search operators
      • Other common Google Search operators
    • 1.3 Sourcing your own data
      • Creating a Google Form for Research
      • Creating a questionnaire with TypeForm
      • Using quizzes and comments as a sources of data
  • Module 2 - Get
    • 2.1 Turning websites and PDFs into machine readable data
      • Scraping data with Tabula
    • 2.2 An introduction to spreadsheet software
      • Google Sheets, Microsoft Excel and Libre Office Calc.
      • Finding your way around a spreadsheet
      • Simple web scraping with Google Sheets
  • Module 3 - Verify
    • 3.1 Can I use this data in my work?
      • Initial steps for verification
      • What do these column headings mean?
  • Module 4 - Clean
    • 4.1 What to do with disorganised data?
      • Why is clean data important?
      • Keep your data organised
      • Cleaning data cheatsheet
  • Module 5 - Analyse
    • 5.1 What is the story within the data?
      • Spreadsheet rows, columns, cells and tabs
        • Spreadsheet formats, forumlas and essential shortcuts
          • Using the VLOOKUP Function
            • Combine Data From Multiple Spreadsheets
    • 5.2 How to turn numbers into stories
  • Module 6 - Visualise
    • 6.1 Ways we visualise data
    • 6.2 Why we visualize Data
    • 6.3 How to visualise data
  • Course Testing & Feedback
    • ⏱️Quick course exam
    • 🎓Extended course exam
    • 📝Survey and feedback
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  1. Module 6 - Visualise

6.1 Ways we visualise data

Different ways that data is visualised

Previous5.2 How to turn numbers into storiesNext6.2 Why we visualize Data

Last updated 2 years ago

When we want to show information in a clear and understandable way, we can use different methods to help us. Let's take a look at some examples so we can learn more about the different ways we can visualize data. Click on the expandable sections to explore these methods further."

Infographics

A visual representation of information, data, or knowledge that combines different elements such as charts, graphs, images, and text to present complex information in an easy-to-understand and visually appealing format.

Maps

A graphic representation of a geographical area that provides information about different features, such as location, distribution, and density of population, natural resources, economic activities, etc.

Timeline

A graphical representation of a chronological sequence of events that displays the order and duration of different events over time.

Charts & graphs

Timelines A graphical representation of a chronological sequence of events that displays the order and duration of different events over time.

Tree diagrams

A graphical representation of a hierarchical structure that shows the relationships between different elements, such as categories, subcategories, and sub-subcategories.

Word clouds
Venn diagrams

A graphical representation of text data that shows the frequency of words in a particular document or corpus by representing them in different sizes or colors, with more frequent words being displayed larger or more prominently.

A graphical representation of sets and their relationships that displays the overlapping and non-overlapping areas between different sets using circles or other shapes.