====== On August 31st DataMeet in conjunction with Jayadevan from Economic Times and the School of Data held an introduction to Data Journalism workshop. ======
Here are the notes:
===== Notes from Data Journalism Workshop ===== [[http://datameet.org/2014/09/09/data-journalism-workshop-1/|Notes from the workshop]] ===== What is data journalism? Group discussion (10 am - 10.30 am) : =====
- Bringing data for the masses by giving context to data and writing stories that people can relate to.
- Taking insights from data - through analysis starting with a story
- Meaningful infographics
visually gripping data ===== Global and Indian Context for Data Journalism: Jayadevan's session (10.30 am to 11.30 am) =====
New digital era
- Print media is on a decline, off late.
- New media organizations emerging, mostly digital and online media.
- Internalization of media
- Global media houses like Bloomberg, New York Times, Business Insider pushing country specific pages.
- Share economy, ready to share data sets and interchange and exchange data.
- Example: Indian election was covered by World Media
- India has favorable demography for digital journalism.
- Data is important part of any news.
- Generalization of media houses is dead. Everyone is doing everything.
- Shorter news cycle. Unlike Print media days
- Social Media remains the prime distribution Platform.
- Digital journalism has shorter turn around time. Things go viral or die out.
- Aggregating data is imp for effective story.
- Need to leverage power of dynamic data presentation when reporting on the web.
- Unlike just scanning the print stuff to the web.
- Dynamic graphs and interactive maps are way to go for effective presentation on the web.
===== Good and Bad Data Journalism: Thej's session (11.30 am - 12.15 pm) ===== [[See examples here]]https://docs.google.com/a/datameet.org/presentation/d/114fC0rleoBqqJO3z7x36fjjlYmr_PK13vWEN4bgUnXM/edit?usp=sharing
- Example of good data story, What makes a good data story? Story, InfoGraphs or Conclusions?
- Nightingale's visualization on number of deaths of soldiers due to poor conditions- Eye opening conclusions. A trend emerging from a story narrated with data in a map.
- Propublica's "Hidden story behind redistricting of constituencies have a corporate hand behind them"- Explaining cause and effect with data, Power of an interactive map compared over a time.
- Climate change visuals - Less data very very few words but really beautiful visuals also does equally great job.
- The Hindu story about ongoing sexual assault cases and their resolution in New Delhi. - Power of reporting data and explaining it in the followup stories.
- Mapping access to toilets according to the social groups. Using maps to tell powerful stories
- Gun control in America by state. - Creative presentations and comparisons. Putting lot of information effectively.
- Great story needs great data and even greater presentation.
- Bad examples of data stories: The Globe and The Daily Mail,gun laws in the state, Fox job loss, Gallup LGBT Percentage, Health assessment
- Choosing right scales, colors and graphs important for effective presentation of data.
- Tools for data analysis and data visualization.
- Map, time and place is a important context building medium in data presentation.
- Choice of color contrast, scale and percentage representation is most important. Think through before visualizing.
===== Sources of Data: Nisha's Session (12.15 pm to 12.45 pm): =====
- Introduction to- [[data.gov.in]]http://data.gov.in/
- Data bill not as powerful as RTI, And why?
- Demand driven data sets on the website, Neat visualizations, updated data.
- Easy to download in import friendly format.
- Other sources of government data: tenders.gov.in, gazette.kar.ac.in, data.gov.in
- Newsletter from the Ministry of Health is released weekly. Pretty good, demographically spread.
- Datameet data catalogue, OpenCorporates, WorldBank is a great resource.
- Data laws in India is a grey area.
- Data cannot be copyrighted and but the process can be.
- Lookout for the copyright associated and licenses when picking up data for a story.
- Government data is best to start with, Do report the source department. But careful with certain organizations/department like ISRO
- Technically, drawing maps in India is not allowed. Only Survey of India can do.
- Always verify the authenticity of data before reporting. Hence Gov data is generally preferred.
- Report the source, credits, references, place and dates.
- Seek permission if the data is outside creative commons or belongs to a private firm.
- IndianKanoon.org -- collection of recent the court cases (Post 1985) and ability to search.
12:45 to 1:15 LUNCH
===== Tableau Demo: Nisha's session: (1.15pm-1.45pm) =====
- Introduction to Tableau Public, Data visualization tool.
- Import your dataset and drag-drop to the dashboard.
- Formula free and a great first level analysis tool.
- Used by Business community for research, Social sector, Journalists and freelancers.
- Similar to Infogram but more functional and powerful.
- Gets public when you save it.
===== CartoDB Demo: Thej's Session (1.45pm- 2:45pm) =====
- Creating beautiful maps with your data.
- Example of BMTC bus stop density visualizing with CartoDB with maps.
- Introduction to Visuals, Data view and Map view.
- Introduction 'Table to clipboard' firefox/ chrome plugin for moving data from a web table(s) to excel sheet in a clean way.
- Introduction to 'iMacros' firefox/chrome plugin to record a macro and perform a repetitive operation.
- Twitter hashtag interactive maps using CartoDB
- Introduction to ScraperWiki - extract data from web pages and pdf.
- Introduction to Mapbox by TileMill beta for creating interacting maps.
- Plans about Free PDF event
- Used by cartographers for creating interactive maps.
- Intro to QGIS tool
Chai break (2.45pm-3:00pm)
===== Visualization Roadmap: Nisha's Session (3:00pm- 4:00pm) =====
- Think of a story.
- Gather the stats.
- Mine dataset related to it.
- Narrow down the Audience : web/print.
- Language of the article.
- Thinking of Personas while drafting.
- Creating visuals for it, Keep it simple.
- Pick relevant scales : Country/Regional.
- Validation of the finding and the overall article.
- Case studies discussed in class:
- Petroleum import from Iran.
- Water and Garbage data for new buildings in Whitefield and Mahadevapura
- Tree Planting data in Bangalore
===== Sharing tools from the Visualization Roadmap Session: Thej's Session (4:00pm- 4.30pm) =====
- Introduction to Bhuvan, India's Remote sensing Portal
- Analysing increase in area for Bangalore Map from 2004 to 2014.
- Concept for Map overlay
- Introduction to Timeline - Beautifully crafted timeline
- Making a TimeLine' two types one with Time and events other with Time, places and events.
- Introduction to StoryMap - Map that tell stories.
- Public api's from data.gov.in
- Odyssey, Nice data visualization tool.
- Introduction to Fusion Tables - Google's version of Tableau
- Case study of Bangalore Urban Metropolitan Project (BUMP).
- Resource and data rich portal for research and digging stories.
===== Feedback and Survey: 4.30 pm -4:45 pm =====
- Split it in two days
- Hands on with tools.
- Audience should come prepared with a specific problem or story.