Module 5 - Data Visualization and Visual Analytics.pptx
vision
is by far our most powerful sense
data visualization
there is an amazing connection between human visual sensors and the brain
humans have an extraordinary visual capacity to detect patterns
visual perception
to display data effectively we must understand a bit about _______.
visual perception
how many nines are in this matrix?
can you see any pattern in this table?
can you see any pattern in this line graph?
anscombeās quartet
four distinct datasets
each with statistics properties that are essentially identical
nearly identical correlation and regression line
anscombeās quartet
four distinct datasets
each with statistics properties that are essentially identical
but when plotted, they suddenly appear very different
anscombeās quartet
______ suggested the combined use of graphs and statistics methods in data analysis
data visualization
is essential for:
data exploration and understanding
communicating data
making better decisions
understanding
people make better decisions when theyāre based on ______. for information to be understood, it must often be presented in visual form because patters, trends, and outliers require a picture for the human brain to see and comprehend
data visualization
is the graphical display of abstract information for sense-making or data analysis for action
data visualization
its goal is to visualize data in a way that leads to understanding
data visualization
_______ is a fundamental product from the visual analytics process
common types of graphs and charts
bar chart
stacked bar chart
line graph
area chart
pie chart
scatterplot or scatter graph
bubble scatter graph
bullet graph
less common types of graphs
box-plot graph
color scheme types and combinations
qualitative
sequential
diverging
binary
qualitative
colors do not have a perceived order
sequential
colors have a perceived order and perceived difference between successive colors is uniform
diverging
two sequential palettes starting from a common color
graph design principles
ā¢ Show / emphasize the data
ā¢ Maximize the data-ink ratio
ā¢ Decluttering: erase non-data ink as much aspossible.
ā¢ Consider removing: Border, Grid lines, Backgroundshading, Axis (if you plan on labeling the datapoints)
ā¢ Erase redundant data ink
ā¢ Use of color to add emphasis
ā¢ Revise, iterate, edit and get feedback from others
graph design rules
ā¢ Keep it simple and avoid flashy special effects
ā¢ Title the chart clearly to convey a purpose
ā¢ Specify the units of measurement on the x- and y-axis
ā¢ Add legend when encoding data using symbols,shading, and color
ā¢ Label each part of the chart including legend
ā¢ Add annotations if necessary, but avoid adding textsand annotations over the chart area
ā¢ Specify the data source
visual analytics
is the science of analytical reasoning supported by interactive visual interfaces
visual analytics
it encourages visual thinking by leveraging the powers of human perception
visual analytics method
allow people to combine:
human flexibility, creativity, and background knowledge
+ IT capacities for data storage, processing, and visualization
= to gain insight and make well-informed decisions in complex problems
the analytic process
the research question - situation/problem
formulation of the conceptual framework
identification of data sources
create the analytic plan - methods
conduct analysis & interpretation of results
communicate results and findings - visualization and storytelling
propose interventions - actions for improving the situation/problem
the cycle of visual analytic
When people are exploring andanalyzing data, they enter into an iterative and non-linear cycle of
1. data acquisition,
2. selection of visual structures
3. instantiate data views(graphs, visual forms)
4. analysis and synthesis,hypothesis building
5. sharing and re-examination
where at any point they mayneed to skip steps, back-up,seek additional data, or evenstart over
rigorous
a meaningful data visualization is a result of a ____ data analysis
libraries
ā¢ Libraries for adding charts and visualization capabilities to applications
ā¢ Required programming or coding. Suitable for software developers
ā¢ Use Programming Language directives to connect to data sources
web-based tools
ā¢ Visualization tools on the web
ā¢ Easy to use, no programing required
ā¢ Datasets should be upload. Suitable for small-medium datasets
data analytics and visualization platform
ā¢ is an enterprise-class (complete) solution that provides the tools and methods for:
1. connect to most of the DBMS standards (SQL, Web services, local files, etc.)
2. to data exploration and visual analytics,
3. creation and design of data visualizations and dashboards, and
4. capability for team collaboration and content sharing, and dissemination
ā¢ None or minimum programming required
ā¢ Self-service approach, empower business users.
dashboard
is a collection of resources asembled to create a single unified visual display