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Introduction to Exploratory v5.5 New Features

Kan Nishida
February 19, 2020

Introduction to Exploratory v5.5 New Features

Introduces some of the key new features of Exploratory v5.5.

- New Text Data Wrangling UIs
- Drag-and-drop support for Pivot Table
- Dashboard - Long format, Custom Viz, Comment with Markdown
- Chart - Horizontal Bar/Error Bar with Repeat By, Edit Display Name, Cumulative Ratio for Histogram
- Prophet - Variable Importance, Effects by Variables

Kan Nishida

February 19, 2020
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  1. Kan Nishida CEO/co-founder Exploratory Summary Beginning of 2016, launched Exploratory,

    Inc. to democratize Data Science. Prior to Exploratory, Kan was a director of product development at Oracle leading teams for building various Data Science products in areas including Machine Learning, BI, Data Visualization, Mobile Analytics, Big Data, etc. While at Oracle, Kan also provided training and consulting services to help organizations transform with data. @KanAugust Speaker
  2. Data Science is not just for Engineers and Statisticians. Exploratory

    makes it possible for Everyone to do Data Science. The Third Wave
  3. First Wave Second Wave Third Wave Proprietary Open Source UI

    & Programming Programming 2016 2000 1976 Monetization Commoditization Democratization Statisticians Data Scientists Democratization of Data Science Algorithms Experience Tools Open Source UI & Automation Business Users Theme Users
  4. Questions Communication (Dashboard, Note, Slides) Data Access Data Wrangling Visualization

    Analytics (Statistics / Machine Learning) Data Analysis ExploratoryɹModern & Simple UI
  5. • Tokenizing Text: Stop Words Dictionary Update • Text Data

    Wrangling • Enhancements in Summarize / Pivot UIs • Floating Dialog Data Wrangling
  6. • Tokenize: Stop Words Dictionary Update • Text Data Wrangling

    • Enhancements in Summarize / Pivot UIs • Floating Dialog
  7. • Tokenize: Stop Words Dictionary Update • Text Data Wrangling

    • Enhancements in Summarize / Pivot UIs • Floating Dialog
  8. • Tokenize: Stop Words Dictionary Update • Text Data Wrangling

    • Enhancements in Summarize / Pivot UIs • Floating Dialog
  9. • Tokenize: Stop Words Dictionary Update • Text Data Wrangling

    • Enhancements in Summarize / Pivot UIs • Floating Dialog
  10. • Edit Display Name • Enhancements for Pivot Table •

    Custom Calculation • Histogram - Cumulative Sum / Cumulative Ratio • Horizontal Bar / Error Bar Chart
  11. • Edit Display Name • Enhancements for Pivot Table •

    Custom Calculation • Histogram - Cumulative Sum / Cumulative Ratio • Horizontal Bar / Error Bar Chart
  12. • Edit Display Name • Enhancements for Pivot Table •

    Custom Calculation • Histogram - Cumulative Sum / Cumulative Ratio • Horizontal Bar / Error Bar Chart
  13. • Edit Display Name • Enhancements for Pivot Table •

    Custom Calculation • Histogram - Cumulative Sum / Cumulative Ratio • Horizontal Bar / Error Bar Chart
  14. • Edit Display Name • Enhancements for Pivot Table •

    Custom Calculation • Histogram - Cumulative Sum / Cumulative Ratio • Horizontal Bar / Error Bar Chart
  15. • Edit Display Name • Enhancements for Pivot Table •

    Custom Calculation • Histogram - Cumulative Sum / Cumulative Ratio • Horizontal Bar / Error Bar Chart
  16. • Extract Date / Time Information as Predictors • Categorize

    Numeric (Binning) • Time Series Forecasting with ProphetɿVariable Importance, Effects • Effects by Variables - Dropdown Analytics
  17. • Extract Date / Time Information as Predictors • Categorize

    Numeric (Binning) • Time Series Forecasting with ProphetɿVariable Importance, Effects • Effects by Variables - Dropdown Analytics
  18. • Extract Date / Time Information as Predictors • Categorize

    Numeric (Binning) • Time Series Forecasting with ProphetɿVariable Importance, Effects • Effects by Variables - Dropdown Analytics
  19. • Extract Date / Time Information as Predictors • Categorize

    Numeric (Binning) • Time Series Forecasting with ProphetɿVariable Importance, Effects • Effects by Variables - Dropdown Analytics
  20. • Extract Date / Time Information as Predictors • Categorize

    Numeric (Binning) • Time Series Forecasting with ProphetɿVariable Importance, Effects • Effects by Variables - Dropdown Analytics
  21. • Header (H1, H2, etc.) • Bold, Italic • URL

    Link • Bullet Points • Image