Index
A
- access pass / Tokens
- age of oldest case, in queue
- analysis interface, authoring engaging applications
- analytics / Analytics, predictive analytics, and data visualization
- application library, authoring engaging applications
- application life cycle
- applications
- approved sheets
- architecture, Qlik Sense®
- association analysis
- associative logic
- Attribute-Relation File Format (ARFF) / Loading data
- authentication
- authoring engaging applications
- authorization
B
C
- Calendar fields
- Capventis Redmond Pie-Gauge
- casual users / Understanding the bike rental problem
- categorical variable
- categorical variables
- centroid / Centroid-based clustering the using K-means algorithm
- charts
- classifiers performance
- measuring / Measuring the performance of classifiers
- confusion matrix / Confusion matrix, accuracy, sensitivity, and specificity
- accuracy / Confusion matrix, accuracy, sensitivity, and specificity
- sensitivity / Confusion matrix, accuracy, sensitivity, and specificity
- specificity / Confusion matrix, accuracy, sensitivity, and specificity
- types of predictions / Confusion matrix, accuracy, sensitivity, and specificity
- Risk Chart, obtaining / Risk Chart
- ROC Curve / ROC Curve
- cleanup options
- clients, Qlik Sense®
- cloud
- cloud sharing
- cluster
- cluster analysis
- code
- ColorMix1 function
- com-qliktech-peoplechart.js file / Extending the Qlik Sense® client
- com-qliktech-peoplechart.qext file / Extending the Qlik Sense® client
- Comma Separated Value (CSV) / Loading data
- community sheets
- comparison
- comparison sets
- Complexity Parameter (CP) / Cross-validation
- components, applications
- composition
- Comprehensive R Archive Network (CRAN) / Downloading and installing R
- concat()
- Concat() function
- Concat function
- connectivity / Connectivity management
- contents
- content security
- correlation, among input variables
- correlation analysis, with Rattle / Correlation Analysis with Rattle
- correlation coefficient
- credit risks
- cross-validation
- CSV file
- cumulative figures, in trendlines charts
- currency Exchange Rate Calendar
- custom components
- customer buying behavior / Customer segmentation and customer buying behavior
- customer segmentations
D
- DAR methodology
- Dashboard Analysis and Reporting (DAR)
- Dashboard Analysis Reporting (DAR) methodology / Introduction
- dashboards
- data
- about / Introduction
- extracting, from databases and data files / Extracting data from databases and data files, Getting ready…, How to do it…, There's more…
- extracting, from web files / Extracting data from Web Files, How to do it…, How it works…
- extracting, from custom databases / Extracting data from custom databases, How to do it…, How it works…
- using, with extensions / Using data with extensions, How to do it…, How it works…
- loading / Loading data, Loading data and creating a data model
- rescaling / Rescaling data
- Impute option, used for dealing with missing values / Using the Impute option to deal with missing values
- exporting / Exporting data
- preparing / Preparing the data
- analyzing / Analyzing your data
- data, structuring
- data analysis, Qlik Sense
- data applications
- data discovery / Continuing disruption
- data discovery consumption requirements
- data exploring, with Qlik Sense
- data load editor
- data loading, authoring engaging applications
- data model
- data model viewer
- data points
- data science / Datasets, observations, and variables
- Data Science
- dataset
- datasets
- data storytelling
- data storytelling, Qlik Sense
- data transformation
- data visualization / Analytics, predictive analytics, and data visualization
- data visualization, Qlik Sense
- Decision Tree
- Decision Tree Learning
- Declare function
- Default? Attribute / Confusion matrix, accuracy, sensitivity, and specificity
- default charts, Qlik Sense
- Demographic Data Discoverapplication
- dendrogram
- deployment, Qlik Sense®
- Derive function
- descriptive analytics
- dimension / Adding dimensions and measures
- dimensionless bar charts
- dimensions, Travel Expense Discovery application
- disadvantages, Decision Tree Learning
- distribution
- distributions
- dynamic charts
E
F
- fact table
- fields, used as dimensions
- field values list
- files
- files, Qlik Sense extension
- FirstSortedValue() function
- flags
- For Each loop
- Fractile() function
G
H
I
- Image
- indicator variables
- information gain
- input variables
K
L
M
N
- NetworkDays() function
- Neural Network model
- new sheet, data discovery
- node
- nominal categorical variable
- numeric variable
- numeric variables
O
P
Q
- QIX engine
- Qlik
- Qlik Branch
- Qlik Community
- Qlik DataMarket
- Qlik Developer Hub
- Qlik Dev Hub
- about / Using the Qlik Dev Hub in Qlik Sense® 2.1.1
- using, in Qlik Sense 2.1.1 / Using the Qlik Dev Hub in Qlik Sense® 2.1.1
- single configurator / Single configurator, Single configurator
- extensions editor / Extensions editor, Extension editor
- mashup editor / Mashup editor
- working / How it works…
- Extension editor, using in / Using Extension editor in Qlik Dev Hub, How to do it…, There's more…
- used, for generating mashups / Using Qlik Dev Hub to generate mashups, How to do it…, How it works…, There's more…
- Qlik home page
- Qlik Management Console (QMC)
- Qlik Market
- QlikMarket® data
- Qlik Sense
- about / Introduction, Scoring new data
- geo maps, creating in / Creating geo maps in Qlik Sense®, Getting ready, How to do it…, How it works…, There's more…
- KPI object, using in / Effectively using the KPI object in Qlik Sense®, How to do it…, How it works…, There's more…
- dimensionless bar charts, creating in / Creating dimensionless bar charts in Qlik Sense®, How to do it…, There's more…
- HTML visualization extension, creating for / Creating an HTML visualization extension for Qlik Sense®, How to do it…, How it works…, There's more…
- variables, defining in / Defining variables in Qlik Sense®, How to do it…, How it works…, There's more…
- dynamic charts, using in / Creating dynamic charts in Qlik Sense®, How to do it…, How it works…
- data visualization / Data visualization in Qlik Sense
- default charts / Visualization toolbox
- data analysis / Qlik Sense data analysis
- data storytelling / Data storytelling with Qlik Sense
- references / Further learning
- QlikSense-Cookbook-C7-R1-HelloWorld.js
- Qlik Sense 2.1.1
- Qlik Sense application
- about / Introduction
- publishing, created in Qlik Sense desktop / Publishing a Qlik Sense® application created in Qlik Sense® desktop, How it works…
- publishing, to Qlik Sense Cloud / Publishing a Qlik Sense® application to Qlik Sense® cloud, How to do it…, How it works…, There's more…
- embedding, on website / Embedding Qlik Sense® application on a website using a single configurator, How to do it…, How it works…
- creating, for predicting credit risks / Creating a Qlik Sense application to predict credit risks
- creating / Creating a Qlik Sense App to control the activity
- Qlik Sense Cloud
- Qlik Sense Cloud account
- Qlik Sense Desktop
- Qlik Sense Desktop Tutorials
- Qlik Sense Installer file
- Qlik Sense Management Console (QMC) / Overview of an application's life cycle
- Qlik Sense script
- Qlik Sense Server 2.1.1
- Qlik Sense visualizations
- Qlik Sense®
- Qlik Sense® application
- Qlik Sense® apps, using in cloud
- Qlik Sense® client
- Qlik Sense® Cloud
- Qlik Sense® data model
- Qlikview / Getting ready…
- QlikView.Next project
- QlikView® applications
- Qlik® way
- quartiles
- qvd file / How it works…
- QVS (QlikView Script File)
R
S
- = sign
- Sales Discovery application
- Sales Discovery Library
- SAP connector / Getting ready…
- scatter chart
- script
- script files
- search strings
- security
- services, Qlik Sense®
- Qlik Sense Engine Service (The QIX engine) / Services
- Qlik Sense Printing Service / Services
- Qlik Sense Proxy Service (QPS) / Services
- Qlik Sense Repository Service (QRS) / Services
- Qlik Sense Repository Database / Services
- Qlik Sense Scheduler Service (QSS) / Services
- Qlik Sense Service Dispatcher / Services
- Set Analysis
- about / Introduction, Cracking the syntax for Set Analysis
- syntax, cracking for / Cracking the syntax for Set Analysis, How to do it…, How it works…
- = sign, using with variables / Using the = sign with variables in Set Analysis, How to do it…, How it works…
- comparison sets, using in / Using comparison sets in Set Analysis, How to do it…, How it works…
- embedded functions, using in / Using embedded functions in Set Analysis, How it works…, There's more…
- multi measure expression, creating in / Creating a multi-measure expression in Set Analysis, How to do it…, How it works…
- P() function, using in / Using the element functions P() and E() in Set Analysis, How to do it…, There's more…
- E() function, using in / Using the element functions P() and E() in Set Analysis, How to do it…, There's more…
- Set Analysis expressions
- set modifier
- sheets
- simple data app
- Simple Linear Regression / Linear and Logistic Regression
- single configurator
- skewness
- Slowly Changing Dimensions
- smart data load profiling
- Smart Search
- snapshots
- standard deviation
- Standard Error / Measures of the shape of the distribution – skewness and kurtosis
- Statistical Process Control (SPC)
- stories
- storytelling
- streams
- Streams / Starting application authoring
- string of field values, as dimension
- sub routines
- summary reports
- supervised learning
- Supported Vector Machine (SVM) / Supported Vector Machines
- syntax
T
- tables
- Target gauge chart
- target variables
- tasks
- Text
- text summaries
- thumbnails
- tokens / Tokens
- training dataset
- Travel Expense Discovery application
- travel expense story
- tree map
- tree maps
- trendline charts
- Trial Balance sheet
- types of predictions, classifiers performance
- True Positive / Confusion matrix, accuracy, sensitivity, and specificity
- False Positive / Confusion matrix, accuracy, sensitivity, and specificity
- True Negative / Confusion matrix, accuracy, sensitivity, and specificity
- False Negative / Confusion matrix, accuracy, sensitivity, and specificity
U
V
- variable
- variables
- variance
- visual exploration capability
- visualizations
- visualization toolbox
W
- web mashups
- website
- Weka / Loading data
- working days, in calendar month
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