Practical-statistics-for-data-scientists - Code repository for O'Reilly book

Overview

Code repository

Practical Statistics for Data Scientists:

50+ Essential Concepts Using R and Python

by Peter Bruce, Andrew Bruce, and Peter Gedeck

Online

View the notebooks online: nbviewer

Excecute the notebooks in Binder: Binder

This can take some time if the binder environment needs to be rebuilt.

Other language versions

English:
Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
2020: ISBN 149207294X
Google books, Amazon
Japanese:
データサイエンスのための統計学入門 第2版 ―予測、分類、統計モデリング、統計的機械学習とR/Pythonプログラミング
2020: ISBN 487311926X, Shinya Ohashi (supervised), Toshiaki Kurokawa (translated)
Google books, Amazon
German:
Praktische Statistik für Data Scientists: 50+ essenzielle Konzepte mit R und Python 
2021: ISBN 3960091532, Marcus Fraaß (Übersetzer)
Google books, Amazon
Korean:
Practical Statistics for Data Scientists: 데이터 과학을 위한 통계(2판) 2021: ISBN 9791162244180, Junyong Lee (translation)
Google books, Hanbit media
Polish:
Statystyka praktyczna w data science. 50 kluczowych zagadnien w jezykach R i Python 2021: ISBN 9788328374270
Google books, Amazon, Helion

See also

Setup R and Python environments

R

Run the following commands in R to install all required packages

if (!require(vioplot)) install.packages('vioplot')
if (!require(corrplot)) install.packages('corrplot')
if (!require(gmodels)) install.packages('gmodels')
if (!require(matrixStats)) install.packages('matrixStats')

if (!require(lmPerm)) install.packages('lmPerm')
if (!require(pwr)) install.packages('pwr')

if (!require(FNN)) install.packages('FNN')
if (!require(klaR)) install.packages('klaR')
if (!require(DMwR)) install.packages('DMwR')

if (!require(xgboost)) install.packages('xgboost')

if (!require(ellipse)) install.packages('ellipse')
if (!require(mclust)) install.packages('mclust')
if (!require(ca)) install.packages('ca')

Python

We recommend to use a conda environment to run the Python code.

conda create -n sfds python
conda activate sfds
conda env update -n sfds -f environment.yml
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Simple Inkscape Scripting

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Example Code Notebooks for Data Visualization in Python

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Pydrawer: The Python package for visualizing curves and linear transformations in a super simple way

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A deceptively simple plotting library for Streamlit

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Create 3d loss surface visualizations, with optimizer path. Issues welcome!

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A Python package that provides evaluation and visualization tools for the DexYCB dataset

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A minimal Python package that produces slice plots through h5m DAGMC geometry files

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Missing data visualization module for Python.

missingno Messy datasets? Missing values? missingno provides a small toolset of flexible and easy-to-use missing data visualizations and utilities tha

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A GUI for Pandas DataFrames

PandasGUI A GUI for analyzing Pandas DataFrames. Demo Installation Install latest release from PyPi: pip install pandasgui Install directly from Githu

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MPL Plotter is a Matplotlib based Python plotting library built with the goal of delivering publication-quality plots concisely.

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Antonio López Rivera 162 Nov 11, 2022
NorthPitch is a python soccer plotting library that sits on top of Matplotlib

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Devin Pleuler 30 Feb 22, 2022
A package for plotting maps in R with ggplot2

Attention! Google has recently changed its API requirements, and ggmap users are now required to register with Google. From a user’s perspective, ther

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A simple python tool for explore your object detection dataset

A simple tool for explore your object detection dataset. The goal of this library is to provide simple and intuitive visualizations from your dataset and automatically find the best parameters for ge

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Geospatial Data Visualization using PyGMT

Example script to visualize topographic data, earthquake data, and tomographic data on a map

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The repository is my code for various types of data visualization cases based on the Matplotlib library.

ScienceGallery The repository is my code for various types of data visualization cases based on the Matplotlib library. It summarizes the code and cas

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An automatic prover for tautologies in Metamath

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