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Kan Nishida

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learn data science

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Kan Nishida

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Jun 25

How to Find the Right Number of Clusters with Silhouette Method

Clustering is one of the most useful techniques in exploratory data analysis.

How to Find the Right Number of Clusters with Silhouette Method

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learn data science

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Kan Nishida

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Jun 13

Introduction to CatBoost: Why It Works So Well with Categorical Data

A practical guide to how CatBoost handles categorical variables, how it differs from XGBoost and LightGBM, and when to use it for…

Introduction to CatBoost: Why It Works So Well with Categorical Data

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learn data science

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Kan Nishida

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Jun 8

Exploratory v15.5

We’re excited to announce the release of Exploratory v15.5! 🎉

Exploratory v15.5

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learn data science

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Kan Nishida

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Jun 8

Exploratory v15 — The 3 Rs for Trustworthy Data Analysis in the AI Era

Readability, Reproducibility, and Reliability

Exploratory v15 — The 3 Rs for Trustworthy Data Analysis in the AI Era

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learn data science

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Kan Nishida

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Apr 23

In the Age of AI, R’s Readability Becomes a Superpower

How readable code enables reliable, reproducible, and interactive data analysis when AI writes the code

In the Age of AI, R’s Readability Becomes a Superpower

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learn data science

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Kan Nishida

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Apr 6

Why Deep Learning Didn’t Replace Tree Models for Tabular Data

Why models like XGBoost and LightGBM still dominate structured data problems.

Why Deep Learning Didn’t Replace Tree Models for Tabular Data

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learn data science

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Kan Nishida

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Mar 22

LightGBM Explained: How It Differs from Random Forest and XGBoost

The evolution of tree-based models — from robustness to optimization to scalability

LightGBM Explained: How It Differs from Random Forest and XGBoost

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learn data science

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Kan Nishida

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Mar 19

Auto-Positioning Labels: Keep Your Charts Readable Automatically

Introducing auto-positioning for chart values in Exploratory

Auto-Positioning Labels: Keep Your Charts Readable Automatically

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learn data science

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Kan Nishida

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Mar 16

AI Note Editor: Create Reports 10x Faster, 10x Better

We’re thrilled to introduce AI Note Editor in Exploratory v14! 🎉

AI Note Editor: Create Reports 10x Faster, 10x Better

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learn data science

by

Kan Nishida

·

Mar 16

Turn GitHub Issues into Release Notes with AI

How I Use Exploratory’s AI Function to Automatically Categorize, Rewrite, and Generate Release Notes

Turn GitHub Issues into Release Notes with AI

Kan Nishida

Kan Nishida

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

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