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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. i17 Box-percentile plots of height-for-age (HAZ) by country; 2009-10. The Box-Percentile Plot, Warren W. Esty and Jeffrey D.

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What Are the Most Important Steps to Protect Your Organization’s Data?

Smart Data Collective

Based on figures from Statista , the volume of data breaches increased from 2005 to 2008, then dropped in 2009 and rose again in 2010 until it dropped again in 2011. In 2009 for example, data breaches dropped to 498 million (from 656 million in 2008) but the number of records exposed increased sharply to 222.5 million (from 35.7

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New Edition of “Now You See It”

Perceptual Edge

On April 15, 2021, my book Now You See It (2009) will become available in its second edition with the revised subtitle An Introduction to Visual Data Sensemaking. I wrote Signal in 2015 to complement Now You See It by covering more advanced data sensemaking techniques, including Statistical Process Control.

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It’s True: Educate a Woman, Educate a Nation

Sisense

In fact, according to the UNESCO Institute for Statistics , “16 million girls will never set foot in a classroom – and women account for two-thirds of the 750 million adults without basic literacy skills.”. Despite progress in recent years, UNESCO says that more girls than boys remain out of school. Making Women and Girls a Priority.

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Excellent Analytics Tips #20: Measuring Digital "Brand Strength"

Occam's Razor

eBay's green line is very close the performance of the category (and you'll see that often at peaks in the shopping category queries, eBay actually does worse starting holiday season 2009). The tussle between Wal-Mart and Target is interesting. Amazon is an interesting example.

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Understanding Simpson’s Paradox to Avoid Faulty Conclusions

Sisense

This is an example of Simpon’s paradox , a statistical phenomenon in which a trend that is present when data is put into groups reverses or disappears when the data is combined. It’s time to introduce a new statistical term. In 2009, researchers suggested that Simpson’s paradox may occur more often than commonly thought.

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Software commodities are eating interesting data science work

Data Science and Beyond

When I started my PhD in 2009, the plan was to work on sentiment analysis of opinion polls. I learned about Bayesian statistics and conjugate priors. What can one do to remain relevant in such an environment? Read this post to find out. Highlights from my past. Moving forward in my PhD, I got into topic modelling.

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