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Chart Snapshot: Raisz Cartograms

The Data Visualisation Catalogue

Rectangular Statistical Cartograms of the World — Erwin Raisz POPULATION 1930 census. Draw your own Rectangular Statistical Cartogram with recmap — Christian Panse Trainspotting: Europe’s railway lines. Tools to generate this chart with: D3.js Presence of school cartography in Erwin Raisz’s lifework. election 2004.

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Chart Snapshot: Functional Box Plots

The Data Visualisation Catalogue

While this visualisation technique is a variation of the classic Box Plot , a Functional Box Plot is visually very different and instead plots a combination of lines and areas to communicate the various data ranges. Median Curve: The median curve represents the most central observation and serves as a robust statistic for centrality.

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Chart Snapshot: Box-Percentile Plots

The Data Visualisation Catalogue

Box-Percentile Plots display the same summary statistics as regular Box Plots (median, quartiles, minimum, and maximum), but instead use line markers on a density/distribution shape to indicate their location.

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Chart Snapshot: Beanplots

The Data Visualisation Catalogue

Beanplot: A Boxplot Alternative for Visual Comparison of Distributions, Peter Kampstra Figure 4: An asymmetric beanplot of the singers. Beanplot: A Boxplot Alternative for Visual Comparison of Distributions, Peter Kampstra Party identification of respondent. statsmodels Figure 1-5: Beanplot of Years by picture group.

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Chart Snapshot: Bagplots

The Data Visualisation Catalogue

A Bagplot is a visualisation method used in robust statistics primarily designed for analysing two- or three-dimensional datasets. The key purpose of a Bagplot is to provide a comprehensive understanding of various statistical properties of the dataset, including its location, spread, skewness, and identification of outliers.

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Smarten Announces SnapShot Anomaly Monitoring Alerts: Powerful Tools for Business Users!

Smarten

Smarten announces the launch of SnapShot Anomaly Monitoring Alerts for Smarten Augmented Analytics. SnapShot Monitoring provides powerful data analytical features that reveal trends and anomalies and allow the enterprise to map targets and adapt to changing markets with clear, prescribed actions for continuous improvement.

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Use Apache Iceberg in your data lake with Amazon S3, AWS Glue, and Snowflake

AWS Big Data

AWS Glue is a serverless data integration service that allows you to visually create, run, and monitor extract, transform, and load (ETL) pipelines to load data into your data lakes in Iceberg format. Snowflake integrates with AWS Glue Data Catalog to retrieve the snapshot location.