Programming & Scientific Computing · Python & Data Science

Python: data visualization and exploratory analysis · Comprehensive treatise

Public introduction · full guide in Eikos

Introduction

What this guide covers

Introduction Introduction Treatise on Data Visualization & Exploratory Analysis in Python

Overview

Topics covered

  • Introduction
  • Exploratory Analysis and Scientific Visualization
  • Fundamentals of EDA and Tukey's Philosophy
  • Measurement Scales and Data Typologies
  • The Matplotlib Architecture and its Object-Oriented API
  • The Object Oriented Interface (OOP)

Related concepts

Main connections

  • Residual analysis & diagnostics
  • Principal component analysis (PCA)
  • Quantiles & percentiles
  • Variance & standard deviation
  • Linear algebra & matrices
  • Time series & ARIMA

Compatible notation

Mathematical sample in LaTeX

The expression is rendered accessibly, with its LaTeX source preserved below.

f^hist(x)=njnh
View LaTeX source\hat{f}_{\text{hist}}(x) = \frac{n_j}{nh}