Cover image for Learning Qlikview Data Visualization.
Learning Qlikview Data Visualization.
Title:
Learning Qlikview Data Visualization.
Author:
Pover, Karl.
ISBN:
9781782179900
Personal Author:
Physical Description:
1 online resource (173 pages)
Contents:
Learning QlikView Data Visualization -- Table of Contents -- Learning QlikView Data Visualization -- Credits -- Foreword -- About the Author -- About the Reviewers -- www.PacktPub.com -- Support files, eBooks, discount offers and more -- Why Subscribe? -- Free Access for Packt account holders -- Instant Updates on New Packt Books -- Preface -- What this book covers -- What you need for this book -- Who this book is for -- Conventions -- Reader feedback -- Customer support -- Downloading the example code -- Errata -- Piracy -- Questions -- 1. First Things First -- Project background -- People -- Ownership -- Driven -- Honest -- Flexible -- Analytical -- Knowledgeable -- Team player -- Data -- Reliable -- Detailed -- Formal -- Flexible -- Referential -- Tools -- Fast and easy implementation -- Business empowerment -- Enterprise-ready -- QlikView -- Installing QlikView -- Important general configuration -- Let's start discovering data -- Opening our first QlikView application -- Data model -- Metadata -- Data preview -- Listboxes -- Table boxes -- Summary -- 2. Rank Analysis -- What is rank analysis? -- Bar chart -- Objects to support bar charts -- Listbox -- Search object -- Current selections box -- Data visualization style guide for bar charts -- Rule 1 - use adequate labeling -- Chart labels -- Dimension and metric labels -- Axes labels -- Rule 2 - convert color into data -- Associative -- Highlighting -- Important functions -- Alerts -- Heat map -- Rule 3 - add more detail -- Additional dimensions -- Grouped bar chart -- Stacked bar chart -- Trellis chart -- Additional expressions -- Set analysis -- Rule 4 - throw away chartjunk -- Rule 5 - respect usability -- Caption -- Export to Excel -- Minimize -- Maximize -- Copy Image to Clipboard -- Fast change -- Inside the chart -- Rule 6 - be honest -- Chart width to height ratio.

Axis not forced to zero -- Summary -- 3. Trend Analysis -- What is trend analysis? -- The line chart -- Objects to support line charts -- Data visualization style guide for line charts -- Rule 1 - use adequate labeling -- Chart labels -- Dimension and metric labels -- Axes labels -- Rule 2 - convert color into data -- Associative -- Dynamic highlighting -- Set analysis -- Important functions -- References -- Rule 3 - add more detail -- Additional dimension -- Trellis chart -- Additional metric -- Rule 4 - throw away chartjunk -- Axis and grid lines -- Rule 5 - respect usability -- Caption -- Inside the chart -- Dimensional group -- Rule 6 - being honest -- Chart width to height ratio -- Axis not forced to zero -- Summary -- 4. Multivariate Analysis -- What is multivariate analysis? -- Table charts -- Heat map -- Mini-charts -- Straight table for multiple metrics -- Important functions -- Pivot table for multiple dimensions -- Data visualization style guide for table charts -- Rule 1 - use adequate labeling -- Chart labels -- Dimension and metric labels -- Rule 2 - convert color into data -- Rule 3 - add more detail -- Rule 4 - throw away chartjunk -- Number format -- Table grid -- Rule 5 - respect usability -- Rule 6 - be honest -- Summary -- 5. Distribution Analysis -- What is distribution analysis? -- Histogram chart -- Important functions -- Advanced searches in set analysis -- The histogram specific properties -- Objects to support histogram charts -- The input box -- Data visualization style guide for histogram charts -- Rule 1 - use adequate labeling -- Dimensional reference lines -- Important functions -- Rule 2 - convert color into data -- Rule 3 - add more detail -- Frequency polygon -- Box plot -- Rule 4 - throw away chartjunk -- Rule 5 - respect usability -- Rule 6 - be honest -- Summary -- 6. Correlation Analysis.

What is correlation analysis? -- Scatterplot chart -- Data visualization style guide for scatterplot charts -- Rule 1: use adequate labeling -- Trendlines -- Rule 2 - convert color into data -- Important function -- Rule 3 - add more detail -- Z axis -- Trails -- Animation -- Rule 4 - throw away chartjunk -- Rule 5 - respect usability -- Rule 6 - be honest -- Summary -- 7. Geographical Analysis -- What is geographical analysis? -- QlikMarket -- Area map chart -- Dimensions -- Metrics -- Data visualization style guide for area map charts -- Rule 1 - use adequate labeling -- Rule 2 - convert color into data -- Rule 3 - add more detail -- Rule 4 - throw away chartjunk -- Rule 5 - respect usability -- Rule 6 - be honest -- Summary -- 8. What-if Analysis -- What is what-if analysis? -- Global variable what-if analysis -- Global variables -- Detailed variable what-if analysis -- Detailed variables -- Summary -- 9. Dashboards and Navigation -- What is a dashboard? -- The dashboard application -- Document settings -- Variables -- Layout -- Supporting objects -- Lines -- Text objects for images -- Current selections box -- The search object -- The loaded listboxes -- Important functions -- Multibox -- The bookmark object -- Arranging objects -- Listboxes for dates -- Key Performance Indicators (KPI's) -- Icons -- Quick global perspective -- The gauge chart -- KPI breakdown -- The KPI table -- Visual cues -- Alert images -- The mini-charts -- Brief analysis -- Migration -- The container object -- Buttons and actions -- Summary -- Index.
Abstract:
A practical and fast-paced guide that gives you all the information you need to start developing charts from your data.Learning QlikView Data Visualization is for anybody interested in performing powerful data analysis and crafting insightful data visualization, independent of any previous knowledge of QlikView. Experience with spreadsheet software will help you understand QlikView functions.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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