尤物视频

Opening and Introduction
00:06 鈥� Opening remarks by Peter Chow-White
1:40 鈥�  Introducing Chad Skelton by Catherine Murray

Chad Skelton鈥檚 Talk
5:43 鈥� Introduction
6:10 鈥�  Data Journalism: Common Associations

Examples of Data Journalism Stories
6:19 -  New York Times 鈥� Impact of the digital revolution on jobs
6:55 鈥� New York Time鈥檚 visualization shows the impact of changes on newspapers jobs
7:04 鈥� Wall Street Journal data visualization - 鈥淚nfectious Diseases and the Impact of Vaccines鈥�.  Rate of measles infections across the states before and after the measles vaccine was introduced
7:29 鈥� New Scientist - 鈥淵our Warming World鈥�. Locations in the world according to changes in temperature

Expanding on the definition of Data Journalism
7:51  - Potential of Data Journalism.  Answers that data journalism provide and which regular journalism doesn鈥檛: An Answer and Your Answer.
8:38  - Scientific Approach versus Journalistic Approach. How does Data Journalism change this dynamic.
9:52 鈥� couple important caveats of Data Journalism: the world is complex and data isn鈥檛 perfect

Examples of questions Data Journalism can/cannot answer
10.35 - Case with the crime rate in Surrey
11:58 - The impact of new rules introduced by the city of Vancouver in the potshots across the city
12:59 鈥揟he probability of car owners (white versus black) to be searched by the police
13:57 鈥� Remark by Chad: Data Journalism can provide 鈥測our answer鈥�. Tailored made answers to the users
14:28 鈥� Violations in daycare story in Metro Vancouver (questions unanswered)
16:10 鈥� Special Needs and Second Language Students by Vancouver Sun
16:57 鈥� Housing Affordability in Metro Vancouver by Vancouver Sun
17:53 鈥� 鈥淒ollars for Docs鈥� project: Payment that Pharmaceutical Companies make to doctors
18:20 鈥� 鈥淗ow fast is LAFD where you live鈥�
18:34 鈥�  Locations of Starbucks:  An example of 鈥渇un鈥� Data Journalism
20:19 鈥� 鈥淯p Close on Baseball鈥檚 Borders鈥� visualization

鈥淣itty gritty鈥� of Data Journalism

20:40 鈥� Conceptualizing data journalism as a tool, rather than type of Journalism.
21:09 鈥� What drives data journalism in the light of recent changes? 1) More Data 2) More Tools
21:27 鈥� Chad remarks about the opportunities for any citizen can engage with data
22:07 鈥� 鈥淢ore Data鈥� 鈥� the first factor that drives data journalism.
22:22 -  Strategies for acquiring data
24:36 鈥�  Example of strategy in practice: BC ambulance service.

Examples: Stories that did not require complex data acquisition
28:05 鈥� 鈥淚ncome based on your attributes鈥�.
30:22 鈥� 鈥淐ommuting Patterns鈥� visualization.
31:04 鈥� 鈥淎re you Over the Hill?鈥� visualization
31:32 鈥� 鈥淧opularity of Baby Names鈥� visualization

Where to Acquire Data: Sources for Open Data
32:11 鈥� Open data. Chad guides us through the sources for open data
32:50 - Stat Can website. National Household Survey 鈥� how to access the open source dataset
37:36 鈥� How to download datasets using different formats. Introducing IVT file format opened by the program Beyond 20/20
40:45 鈥� Chad provides a link to all open data resources that he talked about (bit.ly/sfuopendata)
40:50 鈥� types of files to work with data. XLS, XLSX, XSV, TSV. Geography files (KML, SHP, (SHP,SHX,DBF)
42:46 鈥� CANSIM datasets 鈥� crime data, business data

Data Visualization Tools

46:47 鈥� Introduction to data visualization tools
47:51 鈥� List of visualization tools
48:18 鈥� Data wrapper
51:09 -  Tableau public
53:30 鈥� Fusion Table

Question Time
57:46 鈥� Fred introduces Question Time
58:01 鈥� Question from Mandy on the validity and integrity of datasets used as a source for the articles
1:01:04 鈥� Question from Ann on the future of data journalism and internet of things
1:03:33 鈥� A joined question by host students Mandy and Ann
1:04:58 鈥� Fred Popovich remarks

Questions from the Audience
1:06:28 鈥� Q1: What tool that is possible missing and would be useful in working with data.
1:08:30 鈥� Q2: Considering that journalism is in decline and newspapers are struggling , what role will data journalism play in this context? What disadvantage would citizen-journalist face from not being affiliated with newspapers?
1:12:03 鈥� remarks by Catherine Murray
1:13:38 鈥� remark by Carla Graebner, librarian for Data services and Government Information at SFU.
1:14:49 鈥� Q3: Tools for handling data and visualizing networks.
1:15:57 鈥� Q4:  On questions that should be asked when there is a lack of good data. How to ask those questions?
1:17:42 鈥� Q5: How to deal with literacy issue in terms of visualizations and data analysis?
1:19:26 鈥� Q6: On working with statistics from the journalistic perspective (average, standard deviation).
1:22:25 鈥� Q7: Ethical Dimension in working with and presenting data (in the light of Chad鈥檚 presentation on special needs kids)

Final Remarks
1:25:13- Closing remarks by Catherine Murray
1:25:24 鈥� Presenting a gift to Chad Skelton
1:25:58 鈥� Final remarks by Fred Popovich and announcement on Edward Snowden鈥檚 lecture and final presentations by the students