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AI Quiz of the Day – #13 (Pandas)

Analytics Vidhya

Pandas offers many tools to make your data dance to your tune, from slicing and dicing to merging […] The post AI Quiz of the Day – #13 (Pandas) appeared first on Analytics Vidhya. With its versatile DataFrame structure, Pandas empowers you to navigate the vast data landscape effortlessly.

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How to use SQL with Pandas?

MLWhiz

It lets you slice and dice, groupby, join and do any arbitrary data transformation. Pandas is one of the best data manipulation libraries in recent times. You can take a look at this post, which talks about handling most of the data manipulation cases using a straightforward, simple, and matter of fact way using Pandas.

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Faster data exploration in Jupyter through Lux

Domino Data Lab

Lux also supports specifying particular intent and then further slice, dice and filter charts to find one that best suits the problem you’re working on. Filter lets you set a range on a particular attribute while generalize lets you remove attributes from the established intent – meaning you can perform other slice and dice analysis.

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Know Your Data Ingredients

Juice Analytics

These are the ways you slice and dice your metrics. We're so eager to see our data that we forget to look at our data. I've been indulging in more than my share of cooking instructional lessons. Massimo Bottura showed me about how to build on traditional italian cooking to make a dish your own.

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In Times of Rapid Change, Business Process Modeling Becomes a Critical Tool

erwin

There’s a clear connection between business process modeling and digital transformation initiatives. With it, an organization can explore models to understand information assets within a business context, from internal operations to full customer experiences. Bringing IT and Business Together to Make More Informed Decisions. Change Is Constant.

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6 Principles to Make your Data Story Stick

Juice Analytics

Data visualizations are automatically connected together, so slicing-and-dicing is de-facto. I was reminded of this list by a recent LinkedIn post by Gilbert Eijkelenboom. Then I was pleased to realize that all these ‘S-U-C-C-E-S’ principles are represented in the functionality of Juicebox. Bring personality to your data presentation.

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Data Storytelling: What's Easy and What's Hard

Juice Analytics

Putting data on a screen is easy. Making it meaningful is so much harder. Gathering a collection of visualizations and calling it a data story is easy (and inaccurate). Making data-driven narrative that influences people.hard.