Remove 2008 Remove Interactive Remove Metrics Remove Visualization
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Benchmarking Performance: Your Options, Dos, Don'ts and To-Die-Fors!

Occam's Razor

If you've read my first book Web Analytics: An Hour A Day, you know that I've advocated this strategy since 2008! Conversion rate is one of those metrics that I strongly encourage you only create benchmarks for from your own data. There are four reasons, again from Web Analytics: An Hour A Day, from 2008 (!):

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A perfect match: How tech promoted a small soccer team to the top

CIO Business Intelligence

Thanks to this injection of capital, which allowed it to improve its squad through new hires, Hoffenheim finally reached the Germany’s first division in the 2007-2008 season. It was the beginning of a close relationship between SAP and Hoffenheim, which continues today.

Sales 52
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Reclaiming the stories that algorithms tell

O'Reilly on Data

Each of the classroom’s library books has a color coded sticker on its spine reflecting its Lexile score—a visual announcement of its official complexity level, and thus of which students might be officially ready to read it. Census data gives a map of unmet needs, and can also point out discriminatory patterns.

Risk 355
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Data Observability and Monitoring with DataOps

DataKitchen

Some will argue that observability is nothing more than testing and monitoring applications using tests, metrics, logs, and other artifacts. Since 2008, teams working for our founding team and our customers have delivered 100s of millions of data sets, dashboards, and models with almost no errors. Writing Tests in Your Tool of Choice.

Testing 214
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Data Science, Past & Future

Domino Data Lab

He also really informed a lot of the early thinking about data visualization. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. He was saying this doesn’t belong just in statistics. But the point there was what was emerging was interdisciplinary.

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Data Visualization Inspiration: Analysis To Insights To Action, Faster!

Occam's Razor

Like a vast majority on planet Earth, I love data visualizations. A day-to-day manifestation of this love is on my Google+ or Facebook profiles where 75% of my posts are related to my quick analysis and learnings from a visualization. Data visualized is data understood. But for a visual person like me, this is the ah-ha moment.

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Deep Learning Illustrated: Building Natural Language Processing Models

Domino Data Lab

Human brains are not well suited to visualizing anything in greater than three dimensions. Visualizing data using t-SNE. Instead, we recommend using the bokeh library to create a highly interactive—and actionable—plot, as with the code provided in Example 11.11. Interactive bokeh plot of two-dimensional word-vector data.