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Remove Your Rose Tinted Glasses: Data Visualizations Designed to Mislead

datapine

1) Misleading Data Visualization Examples. 3) The Impact Of Bad Data Visualizations. But while that may be the case, people are duped by data visualizations every day. Bad data visualizations come in many forms, with some more obvious than others. Your Chance: Want to create your own data visualizations for free?

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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well.

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A Guide To Starting A Career In Business Intelligence & The BI Skills You Need

datapine

Does data excite, inspire, or even amaze you? Despite these findings, the undeniable value of intelligence for business, and the incredible demand for BI skills, there is a severe shortage of BI-based data professionals – with a shortfall of 1.5 2) Top 10 Necessary BI Skills. 3) What Are the First Steps To Getting Started?

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The 2015 Digital Marketing Rule Book. Change or Perish.

Occam's Razor

Now here's another surprise: These rules/insights/mind shifts are not about data! Here's important context (before we get into the rules for revolutionaries)… The Fundamental Web Analytics Problem Is Not Data! Most companies are astonishingly blasé about data and possibilities of measurement.

Marketing 140
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PASS Financials: past, present and the Future:

Jen Stirrup

In this post, I want to analyse the current PASS situation, explain some broader context, and give people a more data-driven view. I hope that this leads to a calmer discussion by providing additional information and data. I want to help by providing data and insights on the recent PASS row online. million).

Metrics 104
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MLOps and the evolution of data science

IBM Big Data Hub

The advancement of computing power over recent decades has led to an explosion of digital data, from traffic cameras monitoring commuter habits to smart refrigerators revealing how and when the average family eats. Both computer scientists and business leaders have taken note of the potential of the data.

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To Balance or Not to Balance?

The Unofficial Google Data Science Blog

By IVAN DIAZ & JOSEPH KELLY Determining the causal effects of an action—which we call treatment—on an outcome of interest is at the heart of many data analysis efforts. To do this, you have a data set at the person level containing, among other variables, an indicator of ad exposure, and whether the person bought the truck.