Tellius
  • ๐ŸšฉGetting Started
    • ๐Ÿ‘‹Say Hello to Tellius
      • Glossary
      • Tellius 101
      • Navigating around Tellius
      • Guided tours for quick onboarding
    • โšกQuick Start Guides
      • Search
      • Vizpads (Explore)
      • Insights (Discover)
    • โœ…Best Practices
      • Search
      • Vizpads (Explore)
      • Insights (Discover)
      • Predict
      • Data
    • โฌ‡๏ธInitial Setup
      • Tellius architecture
      • System requirements
      • Installation steps for Tellius
      • Customizing Tellius
    • Universal Search
    • ๐Ÿ Tellius Home Page
  • Kaiya
    • โ™Ÿ๏ธUnderstanding AI Agents & Agentic Flows
      • Glossary
      • Composer
      • ๐Ÿ—๏ธTriggering an agentic workflow
      • The art of possible
      • Setting up LLM for Kaiya
    • ๐ŸคนKaiya conversational AI
      • โ“FAQs on Kaiya Conversations
      • Triggering Insights with "Why" questions
      • Mastering Kaiya conversational AI
  • ๐Ÿ”Search
    • ๐Ÿ‘‹Get familiar with our Search interface
    • ๐Ÿค”Understanding Tellius Search
    • ๐Ÿ“Search Guide
    • ๐Ÿš€Executing a search query
      • Selecting a Business View
      • Typing a search query
      • Constructing effective search queries
      • Marketshare queries
    • ๐Ÿ”‘Analyzing search results
      • Understanding search results
      • Search Inspector
      • Time taken to execute a query
      • Interacting with the resulting chart
    • ๐Ÿ“ŠKnow your charts in Tellius
      • Understanding Tellius charts
      • Variations of a chart type
      • Building charts from Configuration pane
      • List of chart-specific fields
      • Adding columns to fields in Configuration pane
      • Absolute and percentage change aggregations
      • Requirements of charts
      • Switching to another chart
      • Formatting charts
      • Advanced Analytics
      • Cumulative line chart
    • ๐Ÿง‘โ€๐ŸซHelp Tellius learn
    • ๐Ÿ•ต๏ธโ€โ™‚๏ธSearch history
    • ๐ŸŽ™๏ธVoice-driven search
    • ๐Ÿ”ดLive Query mode
  • ๐Ÿ“ˆVizpads (Explore)
    • ๐Ÿ™‹Meet Vizpads!
    • ๐Ÿ‘‹Get familiar with our Vizpads
    • #๏ธโƒฃMeasures, dimensions, date columns
    • โœจCreating Vizpads
    • ๐ŸŒApplying global filters
      • Filters in multi-BV Vizpads
      • Filters using common columns
    • ๐Ÿ“ŒApplying local filters
    • ๐Ÿ“…Date picker in filters
      • Customizing the calendar view
    • โœ…Control filters
      • Multi-select list
      • Single-select list
      • Range slider
      • Dropdown list
    • ๐Ÿ‘๏ธActions in View mode
      • Interacting with the charts
    • ๐Ÿ“Actions in Edit mode
      • ๐Ÿ—จ๏ธViz-level actions
    • ๐Ÿ”งAnomaly management for line charts
      • Instance level
      • Vizpad level
      • Chart level
    • โณTime taken to load a chart
      • Instance level
      • Vizpad level
      • Chart level
    • โ™Ÿ๏ธWorking with sample datasets
    • ๐Ÿ”Swapping Business View of charts
      • Swapping only the current Vizpad
      • Swapping multiple objects
      • Configuring the time of swap
    • ๐Ÿค–Explainable AI charts
  • ๐Ÿ’กInsights (Discover)
    • ๐Ÿ‘‹Get familiar with our Insights
    • โ“Understanding the types of Insights
    • ๐Ÿ•ต๏ธโ€โ™‚๏ธDiscovery Insights
    • โž•How to create new Insights
      • ๐Ÿ”›Creating Discovery Insight
      • ๐Ÿ”‘Creating Key Driver Insights
      • ใ€ฐ๏ธCreating Trend Insights
      • ๐Ÿ‘ฏCreating Comparison Insights
    • ๐ŸงฎThe art of selecting columns for Insights
      • โžก๏ธHow to include/exclude columns?
  • ๐Ÿ”ขData
    • ๐Ÿ‘‹Get familiar with our Data module
    • ๐Ÿฅ‚Connect
    • ๐ŸชนCreate new datasource
      • Connecting to Oracle database
      • Connecting to MySQL database
      • Connecting to MS SQL database
      • Connecting to Postgres SQL database
      • Connecting to Teradata
      • Connecting to Redshift
      • Connecting to Hive
      • Connecting to Azure Blob Storage
      • Connecting to Spark SQL
      • Connecting to generic JDBC
      • Connecting to Salesforce
      • Connecting to Google cloud SQL
        • Connecting to a PostgreSQL cloud SQL instance
        • Connecting to an MSSQL cloud SQL instance
        • Connecting to a MySQL Cloud SQL Instance
      • Connecting to Amazon S3
      • Connecting to Google BigQuery
        • Steps to connect to a Google BigQuery database
      • Connecting to Snowflake
        • OAuth support for Snowflake
        • Integrating Snowflake with Azure AD via OAuth
        • Integrating Snowflake with Okta via OAuth
        • Azure PrivateLink
        • AWS PrivateLink
        • Best practices
      • Connecting to Databricks
      • Connecting to Databricks Delta Lake
      • Connecting to an AlloyDB Cluster
      • Connecting to HDFS
      • Connecting to Looker SQL Interface
      • Loading Excel sheets
      • ๐ŸšงUnderstanding partitioning your data
    • โณTime-to-Live (TTL) and Caching
    • ๐ŸŒทRefreshing a datasource
    • ๐ŸชบManaging your datasets
      • Swapping datasources
    • ๐ŸฃPreparing your datasets
      • ๐ŸคพActions that can be done on a dataset
      • Data Pipeline
      • SQL code snippets
      • โœ๏ธWriteback window
      • ๐ŸงฉEditing Prepare โ†’ Data
      • Handling null or mismatched values
      • Metadata view
      • List of icons and their actions
        • Functions
        • SQL Transform
        • Python Transform
        • Standard Aggregation
        • Creating Hierarchies
      • Dataset Scripting
      • Fusioning your datasets
      • Scheduling refresh for datasets
    • ๐ŸฅPreparing your Business Views
      • ๐ŸŒŸCreate a new Business View
      • Creating calculated columns
      • Creating dynamic parameters
      • Scheduling refresh for Business Views
      • Setting up custom calendars
    • Tellius Engine: Comparison of In-Memory vs. Live Mode
  • Feed
    • ๐Ÿ“ฉWhat is a Feed in Tellius?
    • โ—Alerts on the detection of anomalies
    • ๐Ÿ“ฅViewing and deleting metrics
    • ๐Ÿ–ฒ๏ธTrack a new metric
  • Assistant
    • ๐Ÿ’Introducing Tellius Assistant
    • ๐ŸŽคVoice-based Assistant
    • ๐Ÿ’ฌInteracting with Assistant
    • โ†–๏ธSelecting Business View
  • Embedding Tellius
    • What you should know before embedding
    • Embedding URL
      • ๐Ÿ“ŠEmbedding Vizpads
        • Apply and delete filters
        • Vizpad-related actionTypes
        • Edit, save, and share a Vizpad
        • Keep, remove, drill sections
        • Adding a Viz to a Vizpad
        • Row-level policy filters
      • ๐Ÿ’กEmbedding Insights
        • Creating and Viewing Insights
      • ๐Ÿ”ŽEmbedding Search
        • Search query execution
      • Embedding Assistant
      • ๐Ÿช„Embedding Kaiya
      • Embedding Feed
  • API
    • Insights APIs
    • Search APIs
    • Authentication API (Login API)
  • โœจWhat's New
    • Release 5.4
      • Patch 5.4.0.x
    • Release 5.3
      • Patch 5.3.1
      • Patch 5.3.2
      • Patch 5.3.3
    • Release 5.2
      • Patch 5.2.1
      • Patch 5.2.2
    • Release 5.1
      • Patch 5.1.1
      • Patch 5.1.2
      • Patch 5.1.3
    • Release 5.0
      • Patch 5.0.1
      • Patch 5.0.2
      • Patch 5.0.3
      • Patch 5.0.4
      • Patch 5.0.5
    • Release 4.3 (Fall 2023)
      • Patch 4.3.1
      • Patch 4.3.2
      • Patch 4.3.3
      • Patch 4.3.4
    • Release 4.2
      • Patch 4.2.1
      • Patch 4.2.2
      • Patch 4.2.3
      • Patch 4.2.4
      • Patch 4.2.5
      • Patch 4.2.6
      • Patch 4.2.7
    • Release 4.1
      • Patch 4.1.1
      • Patch 4.1.2
      • Patch 4.1.3
      • Patch 4.1.4
      • Patch 4.1.5
    • Release 4.0
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  • Measures and dimensions required for each chart
  • Data point limits for each chart
  • Optimizing your chart data

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  1. Search
  2. Know your charts in Tellius

Requirements of charts

Learn about the minimum requirements of different chart types in Tellius

Measures and dimensions required for each chart

The following are the essential requirements for building effective and insightful charts. Get the minimum number of measures and dimensions needed for each chart type.

Chart
Min. measures
Min. dimensions

KPI

1

0

Pie chart

1

1

Bar chart

1

1

Line chart

1

1

Scatter plot

2

1

Combo chart

1

1

Table

n

n

Detail table

n

n

Pivot table

n

n

Histogram

1

0

Heatmap

1

2

Treemap

1

1

Sankey chart

1

2

Bubble chart

1

1

Boundary map

0

1 (geo dimension)

Location map

0

2 (latitude & longitude)

Waterfall chart

1

1

KPI target chart

1

0

Growth chart

1

1

Funnel chart

1

1

Bar conversion

n

0

Confidence range

3

1

YoY chart

1

1 (date)

Cohort chart

1

2

Data point limits for each chart

In this section, we'll outline the default number of data points allowed for various chart types. Understanding these limits is crucial for creating effective and visually appealing charts.

Type of chart(s)
Default limit of data points

  • Line chart

  • Area chart

  • Growth/Trend chart

  • Combined bar chart

  • Heatmap

  • Confidence range chart

  • Scatter chart

10,000

Bubble chart

5000

Treemap, Bar chart

1000

Location map, Boundary map

1000

Pivot table, Cohort chart

500

Waterfall chart

100

Pie/Donut chart, Funnel chart, Tables

50

Optimizing your chart data

Understanding the default data point limits for different chart types is essential for effective data visualization. However, there may be instances where you need to work with larger datasets. In such cases, consider the following options for better data representation:

  1. Alternative chart types: Explore alternative chart types that are better suited for larger datasets. For example, if you're dealing with extensive data, a scatter plot or a bar chart might be more appropriate than a pie chart.

  2. Data optimization: Before creating your chart, consider optimizing your dataset. This can involve summarizing or aggregating your data to reduce the number of data points while retaining key insights.

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Last updated 1 year ago

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