<?xml version="1.0" encoding="UTF-8"?>
<mods xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.loc.gov/mods/v3" version="3.1" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
  <titleInfo>
    <title>Data Visualization with Microsoft Power BI</title>
    <subTitle>How to Design Savvy Dashboards</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Kolokolov, Alex</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
    <role>
      <roleTerm type="text">author.</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Zelenksy, Maxim</namePart>
    <role>
      <roleTerm type="text">author.</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Dullea, Kate</namePart>
    <role>
      <roleTerm type="text">illustrator.</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="lcgft">Self-help publications.</genre>
  <genre authority="rvmgf">Livres de croissance personnelle.</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">cau</placeTerm>
    </place>
    <dateIssued encoding="marc">2024</dateIssued>
    <copyrightDate encoding="marc">2024</copyrightDate>
    <edition>First edition.</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xiii, 397 pages : color illustrations, color maps ; 24 cm</extent>
  </physicalDescription>
  <abstract>"The sheer volume of business data has reached an all-time high. Using visualizations to transform this data into useful and understandable information, you can facilitate better decision-making. This practical book shows data analysts as well as professionals in finance, sales, and marketing how to quickly create data visualizations and build savvy dashboards. Alex Kolokolov from Data2Speak and Maxim Zelensky from Intelligent Business explain in simple and clear language how to create brilliant charts with Microsoft Power BI and follow best practices for corporate reporting. No technical background is required. Step-by-step guides help you set up any chart in a few clicks and avoid common mistakes. Also, experienced data analysts will find tips and tricks on how to enrich their reports with advanced visuals. This book helps you understand: The basic rules for classic charts that are used in 90% of business reports ; Exceptions to general rules based on real business cases ; Best practices for dashboard design ; How to set up interactions ; How to prepare data for advanced visuals ; How to avoid pitfalls with eye-catching charts"--</abstract>
  <tableOfContents>Part I Classic visuals -- Power BI interface and chart anatomy -- Visualization compass: How to choose charts correctly -- Columns and bar charts -- Pie and donut charts -- Treeman -- Timeline charts -- Tables and matrices -- KPI cards -- Slicers and filters -- Putting it all together: Dashboard design tips -- Part II Trusted advanced visuals -- Funnel chart -- Map -- Tornado Chart -- Waterfall chart -- Gantt chart -- Sankey chart -- Advanced KPI cards -- Part III Risky advanced visuals -- Gauges and KPIs -- Scatterplots -- Word Cloud -- Decomposition Tree -- AI-based Visuals -- Radar and Aster Plot -- Chord Diagram.</tableOfContents>
  <note type="statement of responsibility">Alex Kolokolov and Maxim Zelensky ; illustrator, Kate Dullea.</note>
  <note>Illustrator statement of responsibility from title page verso.</note>
  <note>Includes index.</note>
  <note>Includes quiz.</note>
  <subject authority="lcsh">
    <titleInfo>
      <title>Microsoft Power BI (Computer file)</title>
    </titleInfo>
  </subject>
  <subject authority="lcsh">
    <topic>Business intelligence</topic>
    <topic>Computer programs</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Information visualization</topic>
    <topic>Computer programs</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Business</topic>
    <topic>Data processing</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Visual analytics</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Management</topic>
    <topic>Data processing</topic>
  </subject>
  <subject authority="rvm">
    <topic>Visualisation de l'information</topic>
    <topic>Logiciels</topic>
  </subject>
  <subject authority="rvm">
    <topic>Gestion</topic>
    <topic>Informatique</topic>
  </subject>
  <subject authority="rvm">
    <topic>Analyse visuelle</topic>
  </subject>
  <classification authority="lcc">QA76.9.I52 K67 2024</classification>
  <classification authority="ddc" edition="23">001.4</classification>
  <identifier type="isbn">9781098152789</identifier>
  <identifier type="isbn">1098152786</identifier>
  <identifier type="lccn">2024408324</identifier>
  <recordInfo>
    <recordContentSource authority="marcorg">YDX</recordContentSource>
    <recordCreationDate encoding="marc">250319</recordCreationDate>
    <recordChangeDate encoding="iso8601">20260804144755.0</recordChangeDate>
    <recordIdentifier source="MYCC">803</recordIdentifier>
    <languageOfCataloging>
      <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
    </languageOfCataloging>
  </recordInfo>
</mods>
