Guide to Data Visualization in Kibana

1. Guide to
Data Visualization
in Kibana
Raya Fratkina
May 13, 2020

2. 2 types
Exploratory Explanatory

3. Types of data visualizations & Elastic

4. 2 types
Exploratory OperationalExplanatory
3 types
the type of visualizations
you assemble when you do
not have a clue about what
information lies within your
data.
what happens when you
have something specific you
want to communicate to an
audience.
the one type of visualization
used for viewing status and
identifying anomalies in
another system. The type
that will keep you from
having to work on
weekends!

5. (some) Tools in Kibana
Exploratory data visualization
• Need to
‒ Discover basic characteristics of the dataset in preparation for using it
‒ Understand
‒ Dimensions available
‒ Distribution of data in each
‒ Limits & extreme values
‒ Data quality & reliability
• Elastic stack brings
‒ Flexible schema; fast and efficient search, grouping, and filtering
‒ Tools for data discovery
‒ Flexible data visualization
Goal: understand what is in your data
add data discover lens visualize gis application

6. (some) Tools in Kibana
Explanatory data visualization
• Want to
‒ Use data to convey information to others
‒ Present findings in a polished way
‒ Include annotation and explanatory text
‒ Tie presentation to the live data and enable drilldowns
• Elastic stack brings
‒ Data visualization tools
‒ Dashboard tools to combine multiple visualizations and annotations
‒ Controls and drilldowns
‒ Ability to show data on a big screen or “play” a slide show
‒ Kiosk mode allows viewers limited interaction with the data
Goal: explain your thesis to others
canvasdashboards visualize gis applicationlens
machine
learning

7. (some) Tools in Kibana
Operational data visualization
• Aim to
‒ View regularly, see data in real time
‒ View key metrics w/ reference thresholds and limits
‒ Detect anomalies and trigger alerts
‒ Compare metrics across time periods or categories
‒ Receive regular reports
• Elastic stack provides
‒ Domain-specific views with our solutions
‒ Mix-and match capabilities
Goal: understand and monitor systems
reportingdashboards
machine
learningmetricsmonitoring gis applicationapmsecurity analytics

8. One Stack.
Elastic Enterprise Search Elastic SecurityElastic Observability
Kibana
Elasticsearch
Beats Logstash

9. Demo time!

10. NYC squirrel census
• Crowd sourced dataset
• Freely available on Github nyc_squirrels.csv
• CSV format

11. Explanatory OperationalExploratory
add data
discover
lens
dashboards
visualize
canvas
gis application
reporting
machine
learning
metrics
monitoring
apm
security analytics
• Quickly ingest data
• View events on a
timeline
• Explore documents
• See fields available &
statistics on the data
• Create many different
types of visualizations
• See data on a map
• Combine different
visualizations on a single
page
• Add annotations and
filter controls
• Customize colors and
styles for a polished
presentation
• Understand anomalies
in data
• Generate data-driven
reports
• Domain-specific
custom tools can be
combined with
generic data
exploration and
visualization
capabilities

12. Questions?

13. Thank You

14. https://www.edocr.com/v/oekl31vr/jgzheng/Dashboard
References