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Principles of Data Wrangling

truly useful. This practical guide provides business analysts with an overview of various data wrangling techniques and tools, and puts the;

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Practical Data Wrangling

practical book on data wrangling designed to give you an insight into the practical application of data wrangling. It takes you through complex;

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Data Wrangling with JavaScript

), JavaScript is a terrific all-round environment for all data wrangling needs! Data Wrangling with JavaScript teaches readers core data;

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The Data Wrangling Workshop

fun and interactive way Key Features Explore data wrangling with the help of real-world examples and business use cases Study various;

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Data Wrangling with R

leveraging the R programming language to easily and quickly turn noisy data into usable pieces of information. Data wrangling, which is also commonly;

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Data Wrangling with Python

wrangling Study various ways to extract the most out of your data in less time Boost your learning curve with bonus topics like random data;

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Data Analytics

reviewed and selected from numerous submissions. The papers cover a wide range of topics such as data cleansing, data integration, data wrangling;

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The Big RBook

introduction to R, machine learning, mathematical models, data wrangling, and reporting Uses a practical tone and integrates multiple topics in a;

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Next Generation Big Data

Utilize this practical and easy-to-follow guide to modernize traditional enterprise data warehouse and business intelligence environments;

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Data Wrangling with Python

datasets with new Python libraries and techniques Use Python solutions to automate your entire data-wrangling process;

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Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis

. The book begins with the first step in data science: importing and wrangling data, which in the investment context means importing asset;

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Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis

. The book begins with the first step in data science: importing and wrangling data, which in the investment context means importing asset;

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Data Analysis for Business, Economics, and Policy

This textbook provides future data analysts with the tools, methods, and skills needed to answer data-focused, real-life questions; to;

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Data Analysis for Business, Economics, and Policy

This textbook provides future data analysts with the tools, methods, and skills needed to answer data-focused, real-life questions; to;

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Practical Machine Learning in R

uses of machine learning approaches. Clear and detailed chapters cover data wrangling, R programming with the popular RStudio tool;

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SciPy Recipes

, statistics, data wrangling, data visualization, and more * A must-have book if you're looking to solve your data-related problems using SciPy, on;

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Hands-On Data Analysis with Pandas

library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will learn how to conduct exploratory data analysis by;

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The Wrangling Lovers

Title: The Wrangling Lovers: or, the Invisible Mistress. A comedy in five acts, and in prose. By E. Ravenscroft].Publisher: British;

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Hands-On Exploratory Data Analysis with Python

help you gain practical knowledge of the main pillars of EDA - data cleaning, data preparation, data exploration, and data visualization;

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97 Things Every Data Engineer Should Know

, wrangling, storing, processing, and ingesting data. Data engineers, data architects, data team managers, data scientists, machine learning engineers;

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Hands-On Big Data Analytics with PySpark

to gain practical big data experience. This book will help you work on prototypes on local machines and subsequently go on to handle messy;

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Hands-On Data Analysis with Pandas

pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will learn how to conduct exploratory data;

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The Beginner's Guide to Data Science

This book discusses the principles and practical applications of data science, addressing key topics including data wrangling, statistics;

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Mastering the SAS Ds2 Procedure

Enhance your SAS data wrangling skills with high precision and parallel data manipulation using the new DS2 programming language. This book;

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Julia for Data Science

ecosystem of packages * Work with the most powerful open-source libraries for deep learning, data wrangling, and data visualization * Learn about;

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Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

ggplot2 package for data visualization, and the dplyr package for data wrangling. After equipping readers with just enough of these data science;

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Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

ggplot2 package for data visualization, and the dplyr package for data wrangling. After equipping readers with just enough of these data science;

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