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Software Support Policy for Data Analytics Products
Software Support Policy Latest Product Versions Product Name Current Version Versions Supported Altair Monarch (formerly Altair Modeler) 2024 Versions 2023 Altair Monarch Server 2024 Versions 2023 Altair Panopticon (formerly Panopticon Server) – Visualization Server 2024 Versions 2023 Altair Knowledge Studio/Seeker 2024…
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Altair® Panopticon™ 2023.1 now available!
Panopticon 2023.1 is now available to all licensed users, and we recommend that all customer organizations plan their upgrades now. Find all the download links for the software and documentation on the AltairOne Marketplace website Panopticon 2023.1 offers improved data management with row-level data access controls,…
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Altair® Panopticon™ Tutorial: Circle Packs
Circle Packs represent hierarchical data sets, showing both each level in the hierarchy and how they interact with each other. They are consequently used for identifying patterns of performance, and outliers within peer groups. They are represented by a colorful mosaic of enclosed circles based on your data. The size of a…
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Altair® Panopticon™ Tutorial: Donut Charts
Donut Charts are a derivative of the pie chart and are used in the same manner for displaying contributions to a total. Panopticon can produce standard Donut Charts in which the donut slice represents a numeric variable that is proportional to the total size of the donut. The color variable can represent either a category…
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Altair® Panopticon™ Tutorial: How To Join Data Sources
You can join data from two or more sources when you load it into Panopticon. This applies to streaming real-time data sources as well as static, historical datasets. Simply put, Panopticon enables you to blend data on-the-fly without using an external database. When joining data sources, you specify the type of join you…
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Altair® Panopticon™ Tutorial: Create and Use Styles
The Style pill on the Panopticon dashboard handles background colors, border colors, font type, text colors, and other style properties for visualizations. Once you have applied your style settings to a visualization part, you can use those settings as the new default for all visualizations in the current workbook. You can…
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Understanding the How To Python Example Workbook
Panopticon includes an example workbook that shows how to use Python for advanced data preparation and transformation, including functions like Fibonacci Fan calculations. This video explains how to use this example workbook to get the most out of Python in the context of Panopticon implementations.
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Use Shapes with Text Columns in Visual Tables
This video explains how to use color and icons on table rows to make it clear which categories each row falls into.
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Alpha Blending and Shapes with Dot Plots
Applying alpha blending and shapes to dot plots provides analysts with a clearer view of trends, clusters, and patterns in complex data sets. This video explains how to use alpha blending and shapes effectively when designing dashboards that include dot plots.
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Exclude Specific Time Points in Time Series Visualizations
Panopticon’s time series date filters allow analysts to exclude individual points in time when filtering time series data to provide themselves with a more accurate view of trends.
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Create Density Plots Part 2
Density plots describe the frequency or count of observations in data for each value along the x-axis. This video demonstrates more advanced methods of building and using density plots.
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Create Density Plots Part 1
Density plots describe the frequency or count of observations in data for each value along the x-axis. This video explains the basics of creating density plots.
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Create Dynamic Titles for Visualizations
Panopticon enables designers to have the titles for visualizations dynamically set by data retrieved from the server. This video explains how to set up dynamic titles and demonstrates how using dynamic titles to make dashboards easier to understand quickly.
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Set Presentation and Parsing Formats for Time Columns
Panopticon enables designers to set formats for date/time columns that control how the data is parsed for proper loading as well as how date/time information is displayed in dashboards. This video shows how to control formats for columns containing time and date data as well as how to control the way such data is presented…
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Add Custom Themes to Workbooks
This video shows how to create and use custom themes, which enable designers to incorporate logos, color schemes, fonts, and other brand signifiers into their dashboards.
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Manage Dashboard Parts
This video explains how designers can cut, paste, copy, move, delete, and align dashboard parts. With version 2021.2 and above, dashboard designers can quickly organize parts on a dashboard with multi-select and context menu options to align items within a row or column and distribute items horizontally or vertically.
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Manage Dashboard Tabs
This video explains how designers can interact with and manage the tabs in their dashboards. Designers can rename, duplicate, remove, and move tabs with their dashboards. The features shown in the video are available in release 2021.2 and above and provide more intuitive ways of performing these tasks.
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Add Custom Titles and Formats to Filters
This video explains how to add custom titles and formats to data columns that may then be displayed in filter boxes. Dashboard designers have the option of setting custom titles for data columns. For numeric and time columns, you can also set the presentation format. This video shows how to accomplish this a column used in…
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Build and Manage Breakdowns in Panopticon 2021.2 and Above
Panopticon 2021.2 makes it easier than ever to add breakdowns to your dashboards. Breakdowns enable users to interact with the data to gain new perspectives and develop insights into causal relationships. When creating a visualization and deciding how the data will be organized, dashboard designers work with columns, rows,…
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Give Users Interactive Control of the Breakdown
This video shows how designers can add breakdowns to their dashboards that users can control for themselves. When adding visualizations to dashboards, designers can expose control over data breakdown (data hierarchy) to end users. This allows dashboard users to control which text columns are employed in the data hierarchy.…
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Add Custom Fonts to the Altair® Panopticon™ Server
This video explains how to add custom fonts to the server that may then be applied in dashboards and PDF report outputs. With release 2021.2 and above, dashboard designers with administrator access can upload TrueType or OpenType fonts to the server and use them in dashboards and PDF reports. The fonts will then be…
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Use Action Forms
This video explains how to use Action Forms in Panopticon. New forms controls in release 2021.2 enable dashboard designers to set several parameter values at the same time. Without a forms control, a value change to any parameter used by a data table automatically triggers a data table reload. Adding a forms control makes…
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Advantages of 3D Scatterplot Data Visualizations
This video explains the benefits of using the 3D scatterplot data visualization. The 3D scatterplot is often more useful than a regular 2D scatterplot when you need to understand the correlation between three variables instead of only two. In the 3D scatterplot, we can twist and turn the display with the mouse pointer and…
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Drag Data Columns Directly to the Settings Panel
This video shows how to drag data columns directly to the variable list when building dashboards. Starting with release 2021.2, the entire settings panel has been made into a "hot zone" that dashboard designers can drag and drop columns to. You no longer need to target the settings pill precisely to add additional data…
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MQTTを使用したAltair ActivateとAltair Panopticonの連携
MQTTを使用したAltair ActivateとAltair Panopticonの連携方法を紹介します。 Altair Activateで演算したデータや計測したデータをPanopticonでリアルタイムに可視化することができます。 事前準備 今回はすべてローカル環境を使用します。 Panopticon（ローカル）のセットアップ方法はこちら MQTTブローカ（ローカル）のセットアップ方法はこちら Altair Activateの設定 MQTTを使用して、メッセージと値を送信します。メッセージはJSONを使用します。 サイン波とのこぎり波を生成して、MQTTで送信するサンプルを作成しました。ダウンロードはこちらです。…