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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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How to Visualize Confidence Intervals in Presentation Slides

Depict Data Studio

Do you need to share statistics in presentations? If you work in public health, then you know that the tiny text and statistical terminology is pretty common in scientific graphs. ” I’d click, move to the next slide, and say, “…and we’re looking at data from 2007 through 2019. 508/ADA compliant).

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Top 6 Data Analytics Tools in 2019

FineReport

First, data processing, data cleaning, and then data modeling, finally data visualization that uses presentation of charts to identify problems and influence decision-making. From the perspective of development history and current market feedback, Tableau is better at visualization. 1) Professional statistical analysis.

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What is business analytics? Using data to improve business outcomes

CIO Business Intelligence

Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. Business analytics also involves data mining, statistical analysis, predictive modeling, and the like, but is focused on driving better business decisions.

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Top 10 Charts in 2020

The Data Visualisation Catalogue

2020 is finally over, so as per tradition the publishing of the website statistics on the most popular chart reference pages is to be obliged. So let’s explore the website statistics from the recent past year with a series of tables and visualizations.

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DataOps Enables Your Data Fabric

DataKitchen

Gartner included data fabrics in their top ten trends for data and analytics in 2019. Data fabrics provide reusable services that span data integration, access, transformation, modeling, visualization, governance, and delivery. From an industry perspective, the topic of data fabrics is on fire. What is a Data Fabric?

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Deciphering The Seldom Discussed Differences Between Data Mining and Data Science

Smart Data Collective

The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. Previously, such problems were dealt with by specialists in mathematics and statistics. Statistics, mathematics, linear algebra. Data Mining Techniques and Data Visualization.