Upgrade to Pro — share decks privately, control downloads, hide ads and more …

Turbo-charged Data Analysis and Visualization using Ext JS 6.2

Olga
September 20, 2016

Turbo-charged Data Analysis and Visualization using Ext JS 6.2

The presentation shows how to visualize and analyze large datasets using Ext JS Grid, Pivot Grid, Charts, and D3 adapter.

Olga

September 20, 2016
Tweet

More Decks by Olga

Other Decks in Programming

Transcript

  1. ©  2016  Sencha  Inc.  • CONFIDENTIAL  • Turbo-charged Data Analysis

    and Visualization using Ext JS 6.2 Olga Petrova Sales Engineer
  2. ©  2016  Sencha  Inc.  • CONFIDENTIAL  • “Without data you’re

    just another person with an opinion.” W. Edwards Deming
  3. ©  2016  Sencha  Inc.  • CONFIDENTIAL  • UI disadvantages of

    popular solutions • Performance problems by visualization of huge datasets • Pure user interactions • Difficult customization • Difficult integration with current applications 8
  4. ©  2016  Sencha  Inc.  • CONFIDENTIAL  • Advantages of Ext

    JS UI • Robust out-of-box components for visualization of data analysis results • Optimized for huge datasets, extreme performance • Easy customization and integration with current applications 9
  5. ©  2016  Sencha  Inc.  • CONFIDENTIAL  • Use case data

    American Community Survey 2013 www.census.gov/programs-surveys/acs 11
  6. ©  2016  Sencha  Inc.  • CONFIDENTIAL  • Use case data

    • 2.276.839 people and 1.476.313 houses • People: state, sex, incomes, education, industry, occupation, working hours, etc. • Houses: state, type of house, property value, total household’s income, rent, owner costs, etc. 12
  7. ©  2016  Sencha  Inc.  • CONFIDENTIAL  • “Income after housing”

    concept [Income after housing] = [Total income] - [Expenses for a house]
  8. ©  2016  Sencha  Inc.  • CONFIDENTIAL  • Application functionality •

    Display of original data sources • Display of data analysis results: highlight hidden trends and insides • Data visualization 15
  9. ©  2016  Sencha  Inc.  • CONFIDENTIAL  • Data sources Problem

    How to show a grid with more than 1 Million rows? 16
  10. ©  2016  Sencha  Inc.  • CONFIDENTIAL  • Data sources Possible

    solutions • Load dataset in a browser: at least 6 Million DOM elements (for 5 columns) • Use pagination: 1000 pages if page size is 1000 17
  11. ©  2016  Sencha  Inc.  • CONFIDENTIAL  • Data sources Ext

    JS Solution • Ext JS Grid with buffered rendering: only part of the dataset is rendered at a time • Ext Speeder backend: server-side smart cache 18
  12. ©  2016  Sencha  Inc.  • CONFIDENTIAL  • Data sources Result

    • Extreme performance • Real-time Big Data • Filtering and sorting are supported 20
  13. ©  2016  Sencha  Inc.  • CONFIDENTIAL  • Data analysis Problem

    How to aggregate data to highlight hidden trends and insides? 21
  14. ©  2016  Sencha  Inc.  • CONFIDENTIAL  • Data analysis Possible

    solutions • Third-party solution: problems with integration, pure interactivity • Self-made solution: manual data aggregation and visualization with tables or lists 22
  15. ©  2016  Sencha  Inc.  • CONFIDENTIAL  • Ext JS Solution

    Sencha Pivot Grid: aggregate data per several dimensions and highlight hidden trends and insides 23 Data analysis
  16. ©  2016  Sencha  Inc.  • CONFIDENTIAL  • Data analysis Result

    • Out-of-box solution for display of data analysis results • Easy highlighting of hidden trends and insides • Custom data aggregation • Local and remote calculations 25
  17. ©  2016  Sencha  Inc.  • CONFIDENTIAL  • Data Visualization Problem

    How to create a custom high-performance visualization with rich user interactions? 26
  18. ©  2016  Sencha  Inc.  • CONFIDENTIAL  • Data Visualization Possible

    solutions • Develop a custom chart component manually: take time • Use third-party solution: integration problems 27
  19. ©  2016  Sencha  Inc.  • CONFIDENTIAL  • Data Visualization Ext

    JS Solution • D3.js adapter • Sencha Charts 28
  20. ©  2016  Sencha  Inc.  • CONFIDENTIAL  • Data Visualization Result

    • Any kind of custom visualization: huge examples gallery • Canvas and SVG engine support • Rich user interactions • Easy data binding to Ext JS store • Integration into Ext JS layouting system 32
  21. ©  2016  Sencha  Inc.  • CONFIDENTIAL  • Used Ext JS

    components • Ext JS Buffered Grid • Ext Speeder back-end • Ext JS Pivot Grid • D3.js Adapter
  22. ©  2016  Sencha  Inc.  • CONFIDENTIAL  • Conclusion Ext JS

    offers a robust and flexible UI for enterprise data analysis applications, visualize big datasets in grids and charts with high performance 34