About Using BIRT Analytics
About Using BIRT Analytics
Understanding BIRT Analytics
About BIRT Analytics main interface
Understanding the home page
Laying out the feature tabs
Setting preferences
Understanding the sample data model
Understanding BIRT Analytics work areas
About BIRT Analytics work areas
Understanding Data Tree
Using My Data
Making a calculated field permanent
Using Discrete Values
Using My Folders
Understanding Scratchpad
Understanding Data Explorer
About Record View
About Summary
About Discrete Values
About Chart
Sorting Charts in Explorer
About Statistics
About Frequency
Exploring views of a database
Filtering views of a database
Understanding table resolution
Viewing results of simple queries
Changing table resolution
Working with your data
Using BIRT Analytics basic tools
Understanding the basic tools
Applying a filter
Defining a selection
Using import and export tools
Using BIRT Analytics engineering tools
Aggregating values
Decoding a field name
Working with expressions
Creating numeric ranges
Working with quantile ranges
Understanding parametric columns
Understanding ranking
Analyzing your data
About analyzing your data
Analysis tool bars
Using crosstabs
Understanding Crosstabs
Crosstab window environment
Using the main viewing tabs in the Crosstab window
Sample Procedures for Creating Crosstabs
Using Venn diagrams
Using Bubble analyses
Using evolution
More about viewing an evolution
Using profile analyses
Using map analyses
Using Pareto analyses
Visualizing your data
Visualizing your data
Using the Gallery
Using a dial
Converting data measures to another indicator type
Using a meter
Using a label
Using a sphere
Using a cylinder
Using a funnel
Working with a Canvas
Identifying and predicting data trends
Understanding data mining and predictive analytics
Preprocessing - Preparing data for mining
Understanding Boolean column creation
Standardizing data in a column
Remapping a column
Understanding Clustering
Understanding Forecasting
More about outliers
Understanding decision trees
Training and testing a predictive model
Understanding the confusion matrix
Understanding sensitivity and specificity
Understanding association rules
Understanding correlation
Understanding the correlation matrix
Understanding the difference between correlation and linear regression
Understanding linear regression
Least-Squares Regression
How to make a linear regression
Understanding logistic regression
Basic principles
Managing campaigns
Understanding campaigns
Configuring campaign elements
Creating a campaign workflow
Creating a stage
About assigning permissions
Defining a campaign resolution level
Defining a media condition
Defining an action goal
Planning a campaign
About campaign properties
Creating a strategy
Creating a campaign
About campaign cells
Running a campaign
Starting a campaign
Managing campaign stages
Viewing campaign summaries
Executing a campaign
Scheduling tasks
Automating a task
About event types
About action types
Creating a scheduled task
Managing scheduled tasks
Duplicating a scheduled task
Modifying a scheduled task
Using a conditional query to automate actions
Glossary
A
access control list (ACL)
action
Aggregates
analysis
antecedent
Association Rules
association rules
Association Rules
B
baseline filter
big data analysis
BIRT Analytics
BIRT Analytics Administration
BIRT Analytics Loader module
Bubble analysis
C
calculated field
campaign
Canvas
cell
Clustering
cluster analysis
column
column‑oriented DBMS
confidence
consequent
Convert
count
Crosstab analysis
Cylinder
D
data analysis
Data Explorer
data field
data integration
data mining
data repository
Data Tree
data types
database
decision tree
Decision Tree
Decodes
Dial
Discrete Values Viewer
Downloads
Dubnium.exe
E
Evolution analysis
Export Analytic DB
Export file
Expressions
F
FastDB
field
filter
Forecasting
functionalities
Funnel
G
gadget
Gallery
group
H
has seasonality
Holt-Winters
I
Import
indexed field
J-K
k-means
kurtosis
L
Label
leverage
lift
Links
M
make permanent
Map analysis
maximum
mean
median
Meter
minimum
mode
My Data Viewer
My Folders Viewer
N
NetScaler Web Logging (NSWL) query
normal distribution
Numeric Ranges
O‑P
parameter
Parametric
Pareto analysis
predictive analytics
Profile analysis
profile
prompted filter
Q
Quantile
query
R
Ranking
record
row
S
scheduled task
Scratchpad
seasonal periodicity
seasonality
security role
security filter
segment
selection
skewness
Sphere
SQL (Structured Query Language)
stage
standard deviation
standard normal distribution
Standardize column
sum
sum‑of‑squares
support
T
table
target filter
temporal file
trigger
U
universal filter
V-Y
value
variance
Venn analysis
W
workflow
Z
z-score
About Using BIRT Analytics
Z