Lincoln2014 ddj (ppt)

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Information about Lincoln2014 ddj (ppt)

Published on February 19, 2014

Author: psychemedia

Source: slideshare.net

An Intro to Data Journalism Tony Hirst @psychemediat Computing & Communications, The Open University

What is journalism?

[sensemaking]

What is data?

[a particular type of source]

What is data journalism?

find stories tell stories

find stories

“Conversations with data”

ouseful.info - A Wrangling Example With OpenRefine: Making “Oven Ready Data”

Data Distributions Outliers

Trends and (anti)correlations...

Data makes most sense when contextualised

Data only makes sense when contextualised

[statistics] (the art of looking at one number in the context of other numbers)

tell stories

BE CAREFUL…. 82 + 4 + 6 ≠ 100%

“ When we create a graph, we design it to tell a story. To do this, we must first figure out what the story is. Next, we must make sure that the story is presented simply, clearly, and accurately, and that the most important parts will demand the most attention. When we communicate verbally, there are times when we need to raise our voices to emphasize important points. Similarly, when we communicate graphically, we must find ways to make the important parts stand out visually. http://www.perceptualedge.com/articles/visual_business_intelligence/sometimes_we_must_raise_our_voices.pdf

https://www.youtube.com/watch?v=oP3c1h8v2ZQ

https://www.youtube.com/watch?v=lYpX4l2UeZg

“ When we create a graph, we design it to tell a story. To do this, we must first figure out what the story is. Next, we must make sure that the story is presented simply, clearly, and accurately, and that the most important parts will demand the most attention. When we communicate verbally, there are times when we need to raise our voices to emphasize important points. Similarly, when we communicate graphically, we must find ways to make the important parts stand out visually. http://www.perceptualedge.com/articles/visual_business_intelligence/sometimes_we_must_raise_our_voices.pdf

[Google spreadsheets]

How else can we look at data?

How do we ask questions of data?

underspendfiletype:xlssite:gov.uk Search limits

Structured queries underspendfiletype:xlssite:gov.uk select webPages where text like “%underspend%” andfiletype=“xls” SQL and domain=“gov.uk”

Count things

How do we interpret the answers?

Look for outliers Top 3… …bottom 3

Libraries

Look for similarities &differences

Look for trends

Look for patterns&str ucture

Data can confirm what we think we know

Data can surprise us and force us to rethink what we think we know

SchoolOfData.org

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