AOP Summit 2012: Cooking with data
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Cooking with data provides fast and simple ways to analyze and visualize data through easy-to-use tools. It allows importing large datasets into spreadsheets in under two minutes for analysis and to create charts and graphs. Case studies show how tools can scrape over 4,600 records in 90 seconds from websites and import transportation safety data into documents for further exploration.
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AOP Summit 2012: Cooking with data
- 1. Cooking with data: Fast and easy data analysis and visualisation Kevin Anderson 12 October 2012
- 2. Photo by Clotee Allochuku
- 3. Fast, simple charts and graphs
- 4. Fast, simple charts and graphs
- 5. Gallup Election 2012 Trial Heat Source: Gallup
- 6. Analysing 4600 records in 90 seconds
- 7. Case study from Data Journalism Handbook
- 8. Analysing 4600 records in 90 seconds
- 9. Screenscraping for poets Photo by The Consumerist, Some Rights Reserved
- 10. National Transportation Safety Board
- 11. Import data from NTSB
- 12. Import HTML in Google Docs
- 13. Import the Table into an instant spreadsheet
- 14. Photo by Sean MacEntee Kevin Anderson Editor Knowledge Bridge and Digital Strategist Media Development Loan Fund Kevin.anderson@mdlf.org Knowledge Bridge – http://kbridge.org Twitter: Work: mdlfbridge Me: kevglobal
Editor's Notes
- Welcome to my data cooking show. We’re going to serve up a starter of simple charts and graphs, moving on to the main of a chunky bit of raw data and finish with a sweet melange of fatal plane crash data. Like a cooking show, occasionally I will show you most of the steps but to do this in 10 minutes, I might occasionally pull something out of the oven and say, here is one that I made before. I am leaving out two really important steps. Finding the data and tidying it up – cleaning it.
- An example from Flight Global’sDEWLine blog.
- Let’s start with a current example: The US elections.
- This data is from Gallup. They run