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Analysis

Analysis

April 17, 2018 3 minute read

Announcing R and Mode Studio: A Free Toolkit for Every Analyst

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Derek Steer

CEO

Four years ago, Mode set out to build the best data platform for every analyst in the world. Since then, we've seen more and more people doing analysis as a key part of their day-to-day work. Today, we're releasing two of the biggest updates in Mode's history, designed not only to make Mode more powerful, but also to make that power accessible to everyone.

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Analysis

April 10, 2018 5 minute read

3 Industry Leaders on the Future of Data Tooling

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David Wallace

Data Science Evangelist

Specialized tooling has proliferated the data engineering community. This trend is growing, and the data infrastructures of modern organizations are becoming more modular. There's a bright future ahead for data engineering, one in which the tools and technology we depend on are increasingly designed with depth and cohesion in mind.

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Analysis

April 2, 2018 6 minute read

The (Data Science) Notebook: A Love Story

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David Wallace

Data Science Evangelist

Computational notebooks for data science have exploded in popularity in recent years, and there's a growing consensus that the notebook interface is the best environment to communicate the data science process and share its conclusions. We've seen this growth firsthand; notebook support in Mode quickly became one of our most adopted features since launched in 2016.

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Analysis

March 22, 2018 6 minute read

Set Operations in SQL and Python: a Comparison

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David Wallace

Data Science Evangelist

As an analyst or data scientist, developing a deep understanding of multiple analytical programming languages can create an advantage in today’s data landscape. The prevailing dialogue around a multi-lingual approach, especially with SQL and Python, typically portrays the languages as functionally discrete. But there are many functions that can be accomplished by both SQL and Python.

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Analysis

March 14, 2018 2 minute read

Styling Analysis with Python

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David Wallace

Data Science Evangelist

Python's powerful data analysis capabilities are loved the world over. When it comes time to share findings with your team, taking a few extra steps to prep your analysis for consumption can go a long way towards landing your recommendation. Here are four straightforward guides to get you started with some of the most common and useful functions to make analysis presentation-ready

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Analysis

March 6, 2018 3 minute read

How Facebook Made Business Forecasting Scalable for the Masses with Prophet

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David Wallace

Data Science Evangelist

It's time to add forecasting to your data team's tool kit. Mode notebooks now support Prophet, a powerful forecasting library for Python and R, built by the Core Data Science Team at Facebook. Prophet helps data teams provide high-quality forecasts alongside standard reporting, in a fraction of the time accurate forecasting previously required. To help you jump in, we’ve created a Getting Started guide, that explains how to use Prophet to solve common business forecasting problems.

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