The Data Visualization Process - GitHub Pages Visualization Process.pdfPlot bar charts (categorical)...
1
Define A Question & Goal Determine the Audience Explore the Data Define the Comparison • What do you want to learn or find out? • What story or message do you want to tell? I want to show the relationship between and Do the data make sense? • How are the data distributed? • Are there any outliers? • Are there missing data? • Do the data fall within a reasonable range? How will they use it? • interactive / online • presentation • one pager • report • poster Who will use this information? Why will they use it? • to learn • to explore/understand • to make decisions • to communicate data • … What do they mean? • Are variables within the data related? • How are they related? Do new variables shed more insight? • Average values (point or running) • Create an index or composite to reduce dimensions • Calculate a percent, ratio, or normalize Plot bar charts (categorical) or histograms (numerical) Plot scaer or line plots between two variables ▢ Magnitude / size ▢ Relationship between 2+ variables ▢ Trend over time ▢ Ratio / composition of a group ▢ Differences between groups (geographies, groups of people) ▢ Differences within groups (distribution) ▢ Between different data (provide context) ▢ Geographic e primary comparison I want to show is: Evaluate Sketch • Try different chart types • Organize how to represent the information • Mock-up in soſtware and refine Refine the visualization by asking if it is: ▢ Is the relationship conveyed through the visualization? ▢ Is the chart type the best way of explaining the relationship? ▢ Is the most important comparison encoded with position? ▢ Should other data or comparisons be added to the chart? ▢ Will the visualization be useful to the audience? ▢ Does the visualization focus on the data? ▢ Is there chart junk (heavy lines, paerns, 3D, etc.)? ▢ Is every dot, symbol, color, line, and variable necessary? ▢ Did you get it right in black and white? Is color used judiciously? Consistently? Simple Organized Responsible Effective ▢ Should the chart be broken into small multiples? ▢ Should categories be sorted/ grouped? ▢ Are annotations used effectively? ▢ Are values labeled directly? (no legend) a d b c a d b c or ▢ Does the plot faithfully represent the data? ▢ Has data been excluded? Is this noted? ▢ Are the numbers meaningful? Should they be raw numbers? Some transformation? ▢ Do the axes have labels? ▢ Does averaging values smooth out the noise or wash away the signal? ▢ Are data sources and manipulations clear? or Variable 1 Variable 2 Variable 3 Variable 3 Variable 2 Variable 1 Variable 2 spikes between the peaks for Variable 1. Variable 2 Variable 1 Variable 1 Variable 2 or Jan Feb March Apr May Jun 26 26 35 53 83 9 Jan Feb Mar Apr May Jun Data Symbology most effective least color luminance saturation position angle length area The Data Visualization Process Inspired by Tamara Munzner; Severino Ribecca & Jonathan Schwabish Laura Hughes ([email protected] @flaneuseks) CC BY 4.0 target Is this right?
Transcript of The Data Visualization Process - GitHub Pages Visualization Process.pdfPlot bar charts (categorical)...
Define A Question & Goal Determine the Audience
Explore the Data
Define the Comparison
• What do you want to learn or find out?
• What story or message do you want to tell?
I want to show the relationship between and
Do the data make sense?• How are the data distributed?• Are there any outliers?• Are there missing data?• Do the data fall within a
reasonable range?
How will they use it?• interactive / online• presentation• one pager• report• poster
Who will use this information?
Why will they use it?• to learn• to explore/understand• to make decisions• to communicate data• …
What do they mean?• Are variables within
the data related?• How are they related?
Do new variables shed more insight?• Average values (point or
running)• Create an index or composite to
reduce dimensions• Calculate a percent, ratio, or
normalize
Plot bar charts (categorical) or histograms (numerical)
Plot scatter or line plots between two variables
▢ Magnitude / size
▢ Relationship between 2+ variables
▢ Trend over time
▢ Ratio / composition of a group
▢ Differences between groups (geographies, groups of people)
▢ Differences within groups (distribution)
▢ Between different data (provide context)
▢ Geographic
The primary comparison I want to show is:
EvaluateSketch• Try different chart
types• Organize how
to represent the information
• Mock-up in software and refine
Refine the visualization by asking if it is:
▢ Is the relationship conveyed through the visualization?
▢ Is the chart type the best way of explaining the relationship?
▢ Is the most important comparison encoded with position?
▢ Should other data or comparisons be added to the chart?
▢ Will the visualization be useful to the audience?
▢ Does the visualization focus on the data?
▢ Is there chart junk (heavy lines, patterns, 3D, etc.)?
▢ Is every dot, symbol, color, line, and variable necessary?
▢ Did you get it right in black and white? Is color used judiciously? Consistently?
Simple
Organized Responsible
Effective
▢ Should the chart be broken into small multiples?
▢ Should categories be sorted/grouped?
▢ Are annotations used effectively? ▢ Are values labeled directly? (no legend)
a
d
bc
adbc
or
▢ Does the plot faithfully represent the data? ▢ Has data been excluded? Is this noted? ▢ Are the numbers meaningful? Should they be raw numbers? Some transformation?
▢ Do the axes have labels? ▢ Does averaging values smooth out the noise or wash away the signal?
▢ Are data sources and manipulations clear?
orVariable 1Variable 2Variable 3
Variable 3
Variable 2Variable 1
Variable 2 spikes between the peaks for Variable 1.
Variable 2Variable 1
Variable 1 Variable 2
or
0
10
20
30
40
50
60
70
80
90
100
Jan Feb March Apr May Jun
Jan
Feb
March
Apr
May
Jun
26 26 3553
83
9
Jan Feb Mar Apr May JunData Symbology
most effective
least
color luminance saturation
position
angle
length
area
The Data Visualization Process
Inspired by Tamara Munzner; Severino Ribecca & Jonathan SchwabishLaura Hughes ([email protected] @flaneuseks) CC BY 4.0
target
Is this right?
![Uncertainty Footprint: Visualization of Nonuniform ...traditional toolset for volume rendering, such as color mapping and multidimensional histograms [KKH02]. Insights gained from](https://static.fdocuments.in/doc/165x107/5fc9fd53025ce93d064f61b8/uncertainty-footprint-visualization-of-nonuniform-traditional-toolset-for-volume.jpg)
