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Unpacking Data Science One Step At A Time

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Kan Nishida

CEO / Founder at Exploratory(https://exploratory.io/). Having fun analyzing interesting data and learning something new everyday.

Latest Posts

Exploratory’s Weekly Update Vol. 27–2/12/2019

Power of noticing, P values are just the tip of the iceberg, Ignored AI in Flint/Michigan, etc.

Venture Capital Investing Happening Almost Entirely in Silicon Valley

When I talk to my friends in Japan they often think that US companies, in general, are super ahead in terms of technology hence they are…

Exploratory’s Weekly Update Vol. 26–11/27/2018

What is machine learning?, AI adoption by companies worldwide, U.S. Gov Data List, etc.

How to Read Multiple Excel or CSV Files Together

You might have multiple Excel or CSV files that share the same data structure (same columns) and are stored in the same folder. If these…

Exploratory’s Weekly Update Vol. 25–11/20/2018

AI and Decision Making, 18 Most Important Sales KPIs, Propaganda and Machine Learning & more!

How to Run Wilcoxon Signed-Rank Test on Exploratory

Wilcoxon Singed-Rank Test is often used as an alternative to T-Test, when the data cannot be assumed to be distributed normally.

Chart Pinning in Exploratory

Chart “Pinning” is a super useful feature that is unique to Exploratory experience.

Exploratory’s Weekly Update Vol. 24–11/12/2018

Data-informed vs. Data-driven, Analytics in Soccer, Wall Street sharing data, not reports, & more!

Visualizing K-Means Clustering Results to Understand the Characteristics of Clusters Better

K-Means Clustering algorithm is super useful when you want to understand similarity and relationships among the categorical data. It…

K-Means Clustering — Deciding How Many Clusters to Build

This is a follow-up post for ‘Visualizing K-Means Clustering Results to Understand the Characteristics of Clusters Better’. I’d recommend…

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