mdst 3559-01-27-data-journalism-studio

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Data Journalism Studio MDST 3559: Dataesthetics Prof. Alvarado 1/27/2011

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Page 1: Mdst 3559-01-27-data-journalism-studio

Data JournalismStudio

MDST 3559: DataestheticsProf. Alvarado

1/27/2011

Page 2: Mdst 3559-01-27-data-journalism-studio

Business

• Late comers– Readings still required for mid-term

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Review:Features of Data Journalism

• Depends on emergence of the datasphere– Transparency (Politics 2.0)– All data leaks

• ... and freely available tools for publishing and visualizing data (Web 2.0)– Google Docs, Zoho, Factual– ManyEyes

• Data converted into a common format– CSV = “comma separated vales” = tabular data in

a text file

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Features of Data Journalism (ii)

• Stories directly reference the data they use– e.g. via embedded links to Google Docs

• Definition of story changes ...– Visualizations can be stories in themselves– The act of data curation itself considered a

journalistic act• Journalism, as the Fifth Estate, still mediates

between power and people, but in new ways– A new relationship of power is opened up

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TBL says the future of journalism scholarship "lies with journalists

scholars who know their CSV from their RDF, can throw together

some quick MySQL queries for a PHP or Python output … and discover the story lurking in

datasets released by governments, local authorities, agencies, [libraries, museums] or any

combination of them – even across national borders."  

http://www.guardian.co.uk/media/2010/nov/22/data-analysis-tim-berners-lee

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Overview

• Download a CSV file from Google• Format as tab separated file with Excel• Open up with a text editor• Cut and paste into ManyEyes• Explore ManyEyes visualization• Upload to Google• Explore Google Docs

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Preliminaries

• Download jEdit– A powerful, open source, cross platform text editor for

programmers– http://http://www.jedit.org/index.php?page=download

• Get an account on Google– If you do not have one, or if you want a new one for this

class• Get an account on ManyEyes– http://www-958.ibm.com/software/data/cognos/many

eyes/

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Grab Some Data

• Go to links on Dataesthetics site• Click on each link– Should send you to Google Docs

• For each file, do: – File > Download As > Excel

• Note where you are saving your files

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Convert the Data

• Open each file up in Excel• Do: – Save as > tab delimited text

• Close file (resave if necessary)• Open file in jEdit• Make sure that ...– Tabs are not converted to spaces– File is saved as a Windows or Unix file– These options found in Utilities > Buffer Options

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View in ManyEyes

• Log in to ManyEyes• For each spreadsheet, do: Participate >

Upload a Dataset– Cut and paste the content of the jEdit window into

the text box– Do: Ctrl-A, Ctrl-C, Ctrl-V

• Add metadata and press Create ...

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ManyEyes

• What kind of visualization to we choose?– See Learn More > Visualization Types– (Open in new window or tab)

• Start with first two visualizations

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Combos

• Social networks in the world– Two rows of names– Matrix Chart, Treemap, Map (custom)

• Owners of US Treasury Bonds – One row of numbers, one row of names– Bubble Chart, Bar Chart

• Combined– Two rows of names + row of numbers– Bubble Chart

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Workflow (Pipeline)

1. Grab Google2. Convert Excel3. Copy jEdit4. Visualize ManyEyes

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Google Docs

• Go to docs.google.com• Upload the files you had previously saved– Use the drag and drop feature or just upload one

at a time• Create a folder an move them into it• Click on an item• Explore– freezing, sorting, sharing, gadgets ...