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Remove Your Rose Tinted Glasses: Data Visualizations Designed to Mislead

Data Pine

1) Misleading Data Visualization Examples. 2) How to Avoid Misleading Visuals. 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.

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Choosing the Best Data Visualization Tool for Your Teams

Cprime

Excel is also not easy to interact with and it’s difficult to share its visualizations. Luckily, there are a wealth of data visualization tools available nowadays, including Tableau , Power BI , Qlik , Looker , and Google’s free Data Studio. What should you look for in a good data visualization tool?

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Plan for Success and Create Great Citizen Data Scientists!

ElegantJ BI

If done right, the transition from business user to Citizen Data Scientist does not have to be difficult. But, if the business plans appropriately and provides the right foundation, the transition can be seamless. If your business is planning a Citizen Data Scientist initiative, you don’t have to do this alone!

Planning 130
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Plan for Success and Create Great Citizen Data Scientists!

ElegantJ BI

If done right, the transition from business user to Citizen Data Scientist does not have to be difficult. But, if the business plans appropriately and provides the right foundation, the transition can be seamless. If your business is planning a Citizen Data Scientist initiative, you don’t have to do this alone!

Planning 130
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How to Build a Comprehensive Financial Dashboard

Business Analysis Knowledge Share

Understanding the type of data, the sources of this data, and the technology to be employed is crucial. Also, the skills required to manage and interpret the data effectively should not be underestimated. Here is a comprehensive guide on data visualization that can serve as a resource for building foundational knowledge.

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Business Analyst vs Data Analyst – What is the difference?

The BAWorld

There are two key roles that are crucial in any organization: Data Analysts and Business Analysts. This article will focus on the differences between Data Analysts and Business Analysts. Data analysts, on the contrary, use techniques and tools to collect, analyze and interpret large volumes of data.

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Analyst’s corner digest #19

Analysts Corner

Reflecting on the previous year, I’ve noticed a few strong trends in our articles. The two worlds, the world of cold hard data and the world of vibrant and diverse humans, have to co-exist in harmony for great solutions to emerge. Understanding these helps in selecting the appropriate algorithm for specific data analysis tasks.