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Celebrating Women in Data Visualization

Juice Analytics

March is Women’s History Month and as a company that celebrates women, we wanted to highlight some of the most influential women in the history of data visualization! Florence Nightingale: Florence Nightingale is considered to be one of the first pioneers of data visualization. Hull House Chicago Maps by Florence Kelley go-wage-maps/.

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Why Game Studios Should Exploit Visual Analytics | BizAcuity

BizAcuity

GAMWIT , a SaaS solution built by BizAcuity empowers game developers with powerful visual analytics. Evolution from MS Excel to Visual Reporting. Integrated data capture and visual analytics is not possible with Excel. Modern Visual Analytics Tools. Working with Excel has a couple of disadvantages. Conclusion.

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A Brief History of Data Visualization

Jet Global

Editors note: This blog was originally published in October 2013, and has been completely revamped and updated for accuracy, relevancy, and comprehensiveness in September 2019 Prior to the 17th century, data visualization existed mainly in the realm of maps, displaying land markers, cities, roads, and resources.

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Data Visualizations in Python and R

Sisense

The human brain processes visual data better than any other kind of data, which is good because about 90% of the information our brains process is visual. Visual processing and responses both occur more quickly compared to other stimuli. The brain processes data in visuals or images faster than data in text or rows of numbers.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? But today, dashboards and visualizations have become table stakes. Five years ago they may have. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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From Disparate Data to Visualized Knowledge Part III: The Outsider Perspective

Ontotext

In 2013, actually, with SPARQL 1.1. Visualization tools and data access. This is why, when we move towards the business side, often some kind of visualization is required. GraphDB is not primarily a data visualization tool. That does not mean that it cannot visualize data. Visualization with SPARQLWrapper.

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Chart Snapshot: Cycle Plots

The Data Visualisation Catalogue

Each seasonal subseries in a Cycle Plot resembles a mini Line Graph , which allows for the clear visual comparison of seasonal patterns across a larger period (e.g. Cycle Plot in Excel — ELOQUENS Hotel room occupancy (%) 2006 – 2013 by month. The Y-axis has the value scale used to plot the response variable.