hpi-swa-lab / bp2019rh1 Goto Github PK

AC:

• Converts jsonl data we got from Luke to slimmed down json / csv file, which includes all the data points which we need (age, gender, including themes)
• looks themes / keys up in GitHub repo to determine which keys to keep
• Allow many key urls to be used for one compression
• store compressed data on server so it does not have to be build on every request
• Write documentation

https://lively-kernel.org/voices/parsing-data/

by Ilias Bergström, Alan F. Blackwell

by David McCandless

If we want to speak with a researcher, we have to first come up with a script with questions for them and also figure out what we think we can achieve by the call.

What is provenance? What of kind of provenance do we want to visualise?

by Rudi Horn, Roly Perera, James Cheney

by SWA Chair

What are the building blocks of visualisations? What basic forms are there? What can you use?

First do #94 and then:

Some ideas in which we could implement some visualisations:

• compare multiple runs of radio shows (with the same questions, or with other questions [to compare demographics for example])
• think about a way to group different ages into groups (if you want to view different age groups: by generation, 5 year steps, 10 year steps,...)
• what to do when we have missing data, how to display it (e.g No answer ratio, or not coded)
• how to incorporate code as a user interaction
• how to display messages
• From individuals to context (macro perspective)

by Mark Monmonier

by Aran Lunzer, Amelia McNamara

• online
• in office

by Donald A. Norman

• https://cran.r-project.org/web/packages/naniar/vignettes/naniar-visualisation.html
• (https://flowingdata.com/2018/01/30/visualizing-incomplete-and-missing-data/)
• https://cmci.colorado.edu/visualab/papers/song_VIS_2018.pdf

by Giorgia Lupi, Stefani Posavec

by Colin Robson

by Edward R. Tufte

AC:

1. a Table with real data and can be seen
2. visualization can be plotted out of data
3. when clicking on a data in the chart, the cell responsible for the data point will be highlighted
4. when clicking on table cell corresponding visualization data point is highlighted

https://xkcd.com/980/huge/#x=-1032&y=-919&z=6

Idea by Luke.

• analyze design ("funnel zoom")
• draw diagram with ideas
• update technical taxonomy

by Todd McLellan

Request world bank data from Luke.

https://doodle.com/poll/ef9tvkxr9iu4katb

• Moritz
• Luc
• Lara
• Simon
• Leo
• Theresa
• Wanda

Librarys

• ChartJS
• D3JS
• Vega - Lite
• ProcessingJS
• VisJS
• ThreeJS
• Echarts & Highcharts
• Metric-Graphics
• Recharts
• D3js
• React-Vis
• CartoDB
• ggPlot2
• matPlotLib
• Raw Graphs
• C3js
• tauCharts

Others

• Tableu
• Excel
• PowerBI
• Visualizer
• GraphViz

• schedule call date in the range from 19 - 29 Feb
• write him whether he can come in the week of the 16 th March
• send Gantt-Chart (see #37 )
• remind internal presentations

Please include links to summary (of useful / interesting visualisations)

Books:

• Truthful Art, Alberto Cairo; #12
• Functional Art, Alberto Cairo; #13
• Unflattening #26
• A Small matter of programming #14
• The Design of everyday things #28
• Information is beautiful #25
• Things come apart #27
• How to Lie with Maps #29
• The Visual Display of Quantitative Data #30
• Semiology of Graphics #31
• Dear Data #32
• Real World Research #33

Papers:

• AVF Reports #35
• The Gamma: Programming tools for open data-driven storytelling #20
• The Practices of Programming #21
• Herding Cats: Observing Live Coding in the Wild #22
• Incremental Relational Lenses #23
• Exploratory and Live, Programming and Coding #24
• It Ain't Necessarily So #34

Presentation should include:

• things we did and evaluated since last presentation
• results from interview with Luke
• next steps and directions
• probable difficulties

by Bonnie A. Nardi

• Summarize progress
• collect questions about data
• send Luke the questions (due Monday)

Book suggested by Luke

Order Visualisations based on mvp needed for each visualisation. E.g. a bar chart needs axes, bars, maybe colour coding + legend. Then we can conclude complexity and needed time for each diagram as well as commonly needed elements.

• Leo taxonomiert

• Theresa taxonomiert

• Gemeinsam besprechen

• Vorstellen mit BP

https://flowingdata.com/2017/01/24/one-dataset-visualized-25-ways/

Luke would like to see a gantt-chart detailing our next steps + milestones in the project, including e.g. when our first prototype is done etc

bachelorprojekt_2020_02_10_a5e41689206f590.25077542_ 2.xlsx

by Tomas Petricek

by Thor Magnusson

It can be found at https://lively-kernel.org/lively4/BP2019RH1/doc/FAQ/glossary.md now

Luke would like to see more polished storyboards for:

• merging of diagrams (Theresa is @work here)
• display of exploration history
• mindmap
• bedingte Verteilungen / stacked bar charts
• individual selections, selection of overlapping groups
• overlaps

Finish the poster we prepared with the data from one individual.

• Fill in texts
• print it

by Jacques Bertin

• Common Social Accountability Platform - Results and Findings from citizen-led Discussions on Displacement and Durable Solutions in Mogadishu

• Beliefs and practices of Somali citizens concerning HIV/AIDS

• Beliefs and practices of Somali citizens concerning infant nutrition

• display 7000 random points in lively
• display data from server in lively
  • compress data / remove redundant data so it is only < 10 MB

by Nick Sousanis