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Seminar #48 - Introduction to Exploratory v6.6

Seminar #48 - Introduction to Exploratory v6.6

We have released Exploratory v6.6 just the other day. In this seminar, Kan has introduced some of the exciting new features including the following items.

* Summary View - Correlation Mode
* Analytics - Factor Analysis
* Analytics - Text Analysis
* Data Source - Salesforce
* R 4.1 Upgrade

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UI Tool: Exploratory(https://exploratory.io/)
Exploratory Online Seminar: https://exploratory.io/online-seminar

Kan Nishida
PRO

June 16, 2021
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Transcript

  1. EXPLORATORY
    Online Seminar #48
    Exploratory v6.6

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  2. Kan Nishida
    CEO/co-founder
    Exploratory
    Summary
    In Spring 2016, launched Exploratory, Inc. to democratize
    Data Science.
    Prior to Exploratory, Kan was a director of product
    development at Oracle leading teams to build 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

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  3. 3
    Data Science is not just for Engineers and Statisticians.
    Exploratory makes it possible for Everyone to do Data Science.
    The Third Wave

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  4. 4
    Questions Communication
    Data Access
    Data Wrangling
    Visualization
    Analytics
    (Statistics / Machine
    Learning)
    Data Science Workflow

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  5. 5
    Questions Communication
    (Dashboard, Note, Slides)
    Data Access
    Data Wrangling
    Visualization
    Analytics
    (Statistics / Machine
    Learning)
    ExploratoryɹModern & Simple UI

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  6. EXPLORATORY
    Online Seminar #48
    Exploratory v6.6

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  7. View Slide

  8. UI SQL
    2 Modes

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  9. UI

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  12. UI SQL
    2 Modes

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  13. SQL (SOQL)

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  16. • Salesforce
    • SQL Data Import Dialog: Table Search Support
    Data Source

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  18. Summary View

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  19. • Correlation ModeɿVisualization Updates
    • Correlation ModeɿMachine Learning Models
    • Data Export
    Summary View

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  22. You can turn on the Prediction to show the predicted values.

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  23. You can switch between the algorithms for the prediction.

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  24. When the target variable is Logical it will show the logistic curve.

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  25. You can export the data you see in the Summary View!

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  27. You can export the data you see in the Correlation Mode as well!

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  29. Analytics
    Text Analysis Factor Analysis

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  38. • Error Bar (Summarized Data)
    • Search for Table
    • Export to Google Sheet
    Chart

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  39. Error Bar can be used to visualize ‘uncertainty’ or Confidence Interval.

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  40. It expects the data to be ‘non aggregated’.

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  41. But, if the data is already aggregated…

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  42. This is when you want to use the new Error Bar (Summarized Data) type.

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  43. You can assign a column for Numerator and a column for Denominator.
    Numerator
    Denominator
    Bounces
    Sessions
    Bounce Rate
    =

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  46. Calendar Widget

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  47. R 4.1 Upgrade

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  49. Performance - M1 Mac (Apple Silicon)
    CSV File Import 2x
    αϚϦɾϏϡʔ - ϕʔγοΫ
    αϚϦɾϏϡʔ - ૬ؔϞʔυ
    2.5x
    1.5x

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  50. 2x
    2.5x
    1.5x
    Faster! 🚀
    R 4.0 (Intel) vs. R4.1 for M1 Mac (Apple Silicon)

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  52. That’s it for today!

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  53. Next Seminar

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  54. EXPLORATORY
    Online Seminar #49
    6/23/2021 (Wed) 11AM PT
    Introduction to
    Dashboard

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  56. Information
    Email
    [email protected]
    Website
    https://exploratory.io
    Twitter
    @ExploratoryData
    Seminar
    https://exploratory.io/online-seminar

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  57. Q & A
    57

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  58. EXPLORATORY
    58

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