{"product_id":"python-data-cleaning-cookbook-modern-techniques-and-python-tools-to-detect-and-remove-dirty-data-and-extract-key-insights-paperback","title":"Python Data Cleaning Cookbook: Modern techniques and Python tools to detect and remove dirty data and extract key insights - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eMichael Walker\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eDiscover how to describe your data in detail, identify data issues, and find out how to solve them using commonly used techniques and tips and tricks\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey features\u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eGet well-versed with various data cleaning techniques to reveal key insights\u003c\/li\u003e\n\u003cli\u003eManipulate data of different complexities to shape them into the right form as per your business needs\u003c\/li\u003e\n\u003cli\u003eClean, monitor, and validate large data volumes to diagnose problems before moving on to data analysis\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eGetting clean data to reveal insights is essential, as directly jumping into data analysis without proper data cleaning may lead to incorrect results. This book shows you tools and techniques that you can apply to clean and handle data with Python. You'll begin by getting familiar with the shape of data by using practices that can be deployed routinely with most data sources. Then, the book teaches you how to manipulate data to get it into a useful form. You'll also learn how to filter and summarize data to gain insights and better understand what makes sense and what does not, along with discovering how to operate on data to address the issues you've identified. Moving on, you'll perform key tasks, such as handling missing values, validating errors, removing duplicate data, monitoring high volumes of data, and handling outliers and invalid dates. Next, you'll cover recipes on using supervised learning and Naive Bayes analysis to identify unexpected values and classification errors, and generate visualizations for exploratory data analysis (EDA) to visualize unexpected values. Finally, you'll build functions and classes that you can reuse without modification when you have new data.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eBy the end of this Python book, you'll be equipped with all the key skills that you need to clean data and diagnose problems within it.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat you will learn\u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eFind out how to read and analyze data from a variety of sources\u003c\/li\u003e\n\u003cli\u003eProduce summaries of the attributes of data frames, columns, and rows\u003c\/li\u003e\n\u003cli\u003eFilter data and select columns of interest that satisfy given criteria\u003c\/li\u003e\n\u003cli\u003eAddress messy data issues, including working with dates and missing values\u003c\/li\u003e\n\u003cli\u003eImprove your productivity in Python pandas by using method chaining\u003c\/li\u003e\n\u003cli\u003eUse visualizations to gain additional insights and identify potential data issues\u003c\/li\u003e\n\u003cli\u003eEnhance your ability to learn what is going on in your data\u003c\/li\u003e\n\u003cli\u003eBuild user-defined functions and classes to automate data cleaning\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eThis book is for anyone looking for ways to handle messy, duplicate, and poor data using different Python tools and techniques. The book takes a recipe-based approach to help you to learn how to clean and manage data. Working knowledge of Python programming is all you need to get the most out of the book.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 436\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.89 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e December 11, 2020\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52493656424755,"sku":"9781800565661","price":80.42,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0300\/5595\/6612\/files\/VDJYbDFRbnY4bDQxLzZuUURZZkIyUT09.webp?v=1759960644","url":"https:\/\/www.vysn.com\/products\/python-data-cleaning-cookbook-modern-techniques-and-python-tools-to-detect-and-remove-dirty-data-and-extract-key-insights-paperback","provider":"VYSN","version":"1.0","type":"link"}