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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 2 - Get

2.2 An introduction to spreadsheet software

At this point, since we need to get our data into a machine readable format, it is useful to become familiar with the tools for accessing those formats: spreadsheets. Spreadsheets are computer applications used to store, analyze, organize and manipulate data in the rows and columns of a grid. The program operates by taking in data, which can be numbers or text, into the cells of tables.

If the data is numbers, the program will compute it for you depending on the function you need to be completed.

In this lesson we will explore common features of different spreadsheet software, including Google Sheets, Microsoft Excel, and Libre Office, and give a brief introduction to spreadsheet rows, columns, cells and tabs.

For the purposes of demonstration we will use examples based on Google Sheets.

PreviousScraping data with TabulaNextGoogle Sheets, Microsoft Excel and Libre Office Calc.

Last updated 2 years ago