Last edited by Gogor
Thursday, May 7, 2020 | History

3 edition of Working With Data found in the catalog.

Working With Data

Andre Francis

Working With Data

by Andre Francis

  • 28 Want to read
  • 6 Currently reading

Published by Thomson Learning .
Written in English

    Subjects:
  • General,
  • Computers,
  • Mathematics,
  • Business/Economics,
  • Data Processing - General,
  • Research

  • The Physical Object
    FormatPaperback
    Number of Pages160
    ID Numbers
    Open LibraryOL8956938M
    ISBN 101844801233
    ISBN 109781844801237
    OCLC/WorldCa228097182

    This book is the globally-reaching guide for any postgraduate student or researcher looking to build their data management skills. Focused on both primary and secondary data and packed with checklists and templates, it contains everything readers need to know for managing all types of data before, during and after the research process. This repository contains the code to import and integrate the book and rating data that we work with. It imports and integrates data from several sources in a single PostgreSQL database; import scripts are primarily in Python, with Rust code for high-throughput processing of raw data files.

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    SAS Syntax (*.sas) Syntax to read the CSV-format sample data and set variable labels and formats/value labels. Part 1: Working with Variables Most of the time, you'll need to make modifications to your variables before you can analyze your : Kristin Yeager.   Current assets - Current liabilities = Working capital. For example, say a company has $, in cash on hand. Another $, is outstanding and owed to the company in the form of accounts receivable. It has $1 million in inventory and physical property assets. Its current assets are therefore $ million.


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Working With Data by Andre Francis Download PDF EPUB FB2

Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Confident Data Skills: Master the Fundamentals of Working with Data and Supercharge Your Career (Confident Series)/5().

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The book was written and tested with Pythonthough other Python versions (including Python ) should work in nearly all cases. The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages.

Familiarity with Python as a language is. If you’re working heavily with Power Pivot and with Power Query, chances are good that you load your Power Query queries to the Internal Data Model a majority of the time. If you’re one of those analysts who always loads to the Data Model, you can tweak the Power Query.

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The tools you learn in this book will easily handle hundreds of megabytes of data, and with a little care you can typically use them to work with Gb of data. If you’re routinely working with larger data ( Gb, say), you should learn more about Working with big amounts of data often results in a very slow worksheet due to calculations.

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