Tabula Documentation
Tabula HomeCommunity
  • 👋Introduction to Tabula
  • Getting Started
    • Product Updates
    • Getting Started
      • Installation and Login
      • Beginner's Guide
    • FAQ
  • Product overview
    • Home Page
    • Exploring Data
      • Data Catalog
      • Exploring Datasets
      • Statistics Panel
    • Designing Flows
      • Creating Flows
      • Flow Designer Guide
        • Working with Canvas
        • Using Groups
        • Working with Table
      • Managing Flows
      • Sharing Flows
      • Demo: Building a Simple Flow
    • Executing Flows
      • Running Flows
      • Jobs overview
    • Building Reports
      • Designing Reports
      • Running Reports
      • Reports Page
    • Connecting Data
  • Integrations
    • Enrichments
      • How to add your API key in Tabula
      • List of Supported Queries
      • Enrichment Providers
        • AnymailFinder
        • Apollo
          • How to find Apollo API key
          • Enrich person by LinkedIn
          • Enrich company by domain
        • Bounceban
        • Bouncer
        • Bouncify
        • CaptainVerify
        • Cleanify
        • Clearout
        • CompanyEnrich
        • ContactOut
          • How to find ContactOut API key
          • Enrich person by LinkedIn
          • Enrich person by email
        • Discolike
        • TheCompaniesAPI
        • Findymail
        • Emailable
        • EmailListVerify
        • Enrichley
        • Heybounce
        • Hunter
        • Kickbox
        • Mails
        • MailChecker
        • MillionVerifier
        • NeverBounce
        • Nubela (Proxycurl)
        • PeopleDataLabs
        • Prospeo
        • ZeroBounce
        • ReverseContact
          • How to find Reverse Contact API key
          • Enrich person by LinkedIn
          • Enrich person and company by email
          • Enrich company by domain
          • Enrich company by LinkedIn
        • UpLead
    • Data Sources
      • Configuring Fivetran Integration
    • Data Storages
      • PostgreSQL
      • Snowflake
      • BigQuery
      • ClickHouse
  • Data Transformation
    • Transforms
      • Source
      • New Empty Table
      • Output
      • Chart
      • Enrichment
      • New Column
      • If...Then
      • Rolling Functions
      • Column Type
      • Columns Edit
      • Filter
      • Remove Duplicates
      • Sort
      • Find and Replace Text
      • Split Column
      • Extract Text
      • Match Text
      • Join
      • Union
      • Group By
      • Pivot
      • Unpivot
      • To JSON
      • From JSON
      • API Call
      • AI Column
      • AI Table
    • Formulas
      • What are Formulas?
      • Math Functions
        • Abs
        • Ceiling
        • Exp
        • Floor
        • IsEven
        • IsOdd
        • Ln
        • Log
        • Log10
        • Mod
        • Pi
        • Power
        • Quotient
        • Round
        • RoundDown
        • RoundUp
        • Sign
        • Sqrt
        • Truncate
      • Trigonometric Functions
        • Acos
        • Asin
        • Atan
        • Atan2
        • Cos
        • Cot
        • Degrees
        • Radians
        • Sin
        • Tan
      • String Functions
        • Compare
        • Concat
        • Contains
        • In
        • CountMatches
        • CountMatchesRegexp
        • EndsWith
        • EndsWithRegexp
        • Extract
        • FindMatchOfString
        • FindMatchOfRegexp
        • FindMatchesOfString
        • FindMatchesOfRegexp
        • Left
        • Length
        • Lower
        • Matches
        • Pad
        • ProperCase
        • RemoveSymbols
        • RemoveWhitespaces
        • Repeat
        • Replace
        • ReplaceRegexp
        • Reverse
        • Right
        • Spaces
        • Split
        • SplitRegexp
        • StartsWith
        • StartsWithRegexp
        • Stuff
        • Substring
        • SubstringDelimiter
        • SubstringRegexpDelimiter
        • Trim
        • Upper
      • Date & Time Functions
        • Date
        • DateAdd
        • DateAdd2
        • DateDiff
        • DateDiff2
        • DateFromParts
        • DateTime
        • DateTimeFromParts
        • DateTrunc
        • DayName
        • DayOfMonth
        • DayOfWeek
        • DayOfYear
        • Hour
        • Minute
        • Month
        • MonthName
        • Now
        • Quarter
        • Second
        • Time
        • TimeFromParts
        • Today
        • Week
        • Year
      • Aggregate Functions
        • Any
        • AnyIf
        • Array
        • ArrayIf
        • Avg
        • AvgIf
        • AvgInRow
        • Count
        • CountA
        • CountIf
        • CountUnique
        • Max
        • MaxIf
        • MaxInRow
        • Median
        • MedianIf
        • Min
        • MinIf
        • MinInRow
        • Mode
        • ModeIf
        • Percentile
        • Quartile
        • StdDev
        • StdDevIf
        • Sum
        • SumIf
        • SumProduct
        • Variance
        • VarianceIf
      • Conversion Functions
        • ToArray
        • ArrayToString
        • ToBoolean
        • ToDate
        • ToDateTime
        • ToDecimal
        • ToInteger
        • ToObject
        • ToTime
        • ToString
      • Misc Functions
        • At
        • IsMissing
        • RowNumber
        • Random
        • If
        • Coalesce
        • True
        • False
        • Null
        • $target
      • Window Functions
      • Custom Functions
      • Data Types
      • Supported Date Parts
      • Regex: List of Tokes
  • Pricing & Billing
    • Plans, Subscriptions, and Credits
    • Tabula for Education
  • Tutorials
    • Tabula Use Cases
    • Merge Columns
    • Join Types
    • Union Introduction
    • Window Functions
    • What is Unpivot?
    • JSON Format Tutorial
    • Using Regex
Powered by GitBook
On this page
  • Overview
  • Getting Started
  • Profiling Widgets

Was this helpful?

  1. Product overview
  2. Exploring Data

Statistics Panel

PreviousExploring DatasetsNextDesigning Flows

Last updated 1 year ago

Was this helpful?

Overview

Understanding your dataset is crucial before undertaking any analysis. The Statistics Panel in Tabula.io offers a range of profiling widgets to make this process straightforward and insightful.

Getting Started

  1. Open your dataset in the Explorer Page - you will see the Statistics panel on the right side next to the table.

  2. Alternatively, open the Flow Page, select any node, and select the "Stats" tab in the right panel.

Depending on the columns you select, you will see different widgets and visualizations:

No columns are selected. A summary widget for each column is displayed. Click on a row above the widget to see extended analytics for a specific column.

One column is selected. A set of widgets related to the selected column is shown.

Two or more columns are selected. A list of summary widgets for the selected columns is displayed. You can drill down into any widget for more information.

Profiling Widgets

The following widgets are available for data profiling:

Data Quality Widget. Displays the summary of data quality for all rows in a column.

Summary Widget. Shows summary statistics based on the column's data type. Contains main and additional statistics.

Frequency (unique values) Widget. Displays the most (or least) frequent values in a column, sorted by default in descending order.

Histogram Widget. Visualizes the distribution of values in columns as bars.

Periodic Histogram Widget. Available for periodic data types only (e.g., DateTime, Date, Time). Shows value distribution grouped by parts of data, such as year, month, week, day, and hours.

Data Types and Widgets

Depending on the data type of the columns, specific widgets, and visualizations will be displayed:

  • String: Data Quality, Summary, and Frequency

  • Boolean: Data Quality and Frequency

  • Integer and Decimal: Histogram, Data Quality, Summary, and Frequency

  • DateTime, Date, and Time: Histogram, Periodic Histogram, Data Quality, Summary, and Frequency

  • Array and Object: Data Quality