analytics/webapps/p2pd/WEB-INF/classes/vcv5lib_en.properties

#
#   Licensed Materials - Property of IBM 
#   IBM Cognos Products: localizationkit 
#   (C) Copyright IBM Corp. 2005, 2014.
#   US Government Users Restricted Rights - Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM Corp.
#

##    DO NOT EDIT! 
##    Generated using CCLXmlToProperties.xslt 
##    END OF WARNING 

## 
## Component: V5V
## 
## Description: 
##

# 
# Section: DSC
# 
# Description: Descriptive sentences to describe the nature of major variations
#
VIS_DESCRIPTION_CHART_BAR = Bar charts are useful for comparing values across bars. Bar charts are preferable to column charts when using long labels.
VIS_DESCRIPTION_CHART_BAR_3D = Bar charts are useful for comparing values across bars. Bar charts are preferable to column charts when using long labels.
VIS_DESCRIPTION_CHART_STACKED_BAR = Stacked Bar charts are useful for comparing the contributions of each value within a bar and comparing bars. Bar charts are preferable to column charts when using long labels.
VIS_DESCRIPTION_CHART_STACKED_BAR_3D = Stacked Bar charts are useful for comparing the contributions of each value within a bar and comparing bars. Bar charts are preferable to column charts when using long labels.
VIS_DESCRIPTION_CHART_PERCENT_STACKED_BAR = 100% Stacked Bar charts are useful for comparing the percentage contribution of each value to a total. Bar charts are preferable to column charts when using long labels.
VIS_DESCRIPTION_CHART_PERCENT_STACKED_BAR_3D = 100% Stacked Bar charts are useful for comparing the percentage contribution of each value to a total. Bar charts are preferable to column charts when using long labels.
VIS_DESCRIPTION_CHART_COLUMN = Column charts are useful for comparing values across columns.
VIS_DESCRIPTION_CHART_COLUMN_3D = Column charts are useful for comparing values across columns.
VIS_DESCRIPTION_CHART_STACKED_COLUMN = Stacked Column charts are useful for comparing the contributions of each value within a column and comparing columns.
VIS_DESCRIPTION_CHART_STACKED_COLUMN_3D = Stacked Column charts are useful for comparing the contributions of each value within a column and comparing columns.
VIS_DESCRIPTION_CHART_PERCENT_STACKED_COLUMN = 100% Stacked Column charts are useful for comparing the percentage contribution of each value to a total.
VIS_DESCRIPTION_CHART_PERCENT_STACKED_COLUMN_3D = 100% Stacked Column charts are useful for comparing the percentage contribution of each value to a total.
VIS_DESCRIPTION_CHART_STACKED_AREA = Stacked area charts are useful for showing trends of the contribution of each value over time or other continuous data.
VIS_DESCRIPTION_CHART_STACKED_AREA_3D = Stacked area charts are useful for showing trends of the contribution of each value over time or other continuous data.
VIS_DESCRIPTION_CHART_PERCENT_AREA = 100% Stacked area charts are useful for showing the trends of the percentage contribution of each value over time or other continuous data.
VIS_DESCRIPTION_CHART_PERCENT_AREA_3D = 100% Stacked area charts are useful for showing the trends of the percentage contribution of each value over time or other continuous data.
VIS_DESCRIPTION_CHART_LINE = Line charts are useful for showing trends of one or more values over time or other continuous data.
VIS_DESCRIPTION_CHART_LINE_WITH_MARKERS = Line charts are useful for showing trends of one or more values over time or other continuous data.
VIS_DESCRIPTION_CHART_LINE_3D = Line charts are useful for showing trends of one or more values over time or other continuous data.
VIS_DESCRIPTION_CHART_LINE_WITH_3D_MARKERS = Line charts are useful for showing trends of one or more values over time or other continuous data.
VIS_DESCRIPTION_CHART_STEP_LINE = Stepped Line charts are useful for showing the rise and fall in noncontinuous data.
VIS_DESCRIPTION_CHART_STEP_LINE_3D = Stepped Line charts are useful for showing the rise and fall in noncontinuous data.
VIS_DESCRIPTION_CHART_PIE = Pie and donut charts are useful for showing the contribution of each value to the whole.
VIS_DESCRIPTION_CHART_DONUT = Pie and donut charts are useful for showing the contribution of each value to the whole.
VIS_DESCRIPTION_CHART_PIE_3D = Pie and donut charts are useful for showing the contribution of each value to the whole.
VIS_DESCRIPTION_CHART_DONUT_3D = Pie and donut charts are useful for showing the contribution of each value to the whole.
VIS_DESCRIPTION_CHART_DIAL_GAUGE = Gauge charts are useful for comparing values among a small number of variables by using either multiple needles on the same gauge or multiple gauges.
VIS_DESCRIPTION_CHART_POINT = Point charts are useful for showing quantitative data in an uncluttered fashion.
VIS_DESCRIPTION_CHART_POINT_WITH_MARKERS = Point charts are useful for showing quantitative data in an uncluttered fashion.
VIS_DESCRIPTION_CHART_POINT_WITH_3D_MARKERS = Point charts are useful for showing quantitative data in an uncluttered fashion.
VIS_DESCRIPTION_CHART_SCATTER = Scatter charts are useful for exploring correlations of data points between two different sets of numerical values.
VIS_DESCRIPTION_CHART_BUBBLE = Bubble charts are useful for exploring correlations of data points among three different sets of numerical values. The size of the bubble represents the third set of numerical values.
VIS_DESCRIPTION_CHART_BUBBLE_3D = Bubble charts are useful for exploring correlations of data points among three different sets of numerical values. The size of the bubble represents the third set of numerical values.
VIS_DESCRIPTION_CHART_CROSSTAB = Crosstabs are a tabular representation of data. Data is displayed in rows and columns and summarized at the intersection points.
VIS_DESCRIPTION_CHART_LIST_TABLE = List tables are useful for displaying detailed information in a series of columns.
VIS_DESCRIPTION_CHART_TREEMAP = Tree maps are useful for visualizing hierarchical data. Color-coded nested rectangles show patterns and exceptions in the data.
VIS_DESCRIPTION_CHART_COMBINATION_BAR_AND_LINE = Combination charts are useful for highlighting relationships between multiple sets of data by using combinations of columns, areas, and lines.
VIS_DESCRIPTION_CHART_COMBINATION_TOP_LINE_AND_BOTTOM_BAR = Combination charts are useful for highlighting relationships between multiple sets of data by using combinations of columns, areas, and lines.
VIS_DESCRIPTION_CHART_BULLET = Bullet charts are useful for visualizing a set of values relative to a target set of values.
VIS_DESCRIPTION_CHART_PARETO = Pareto charts are useful for determining which of a set of categories contribute the most to a measure.
VIS_DESCRIPTION_CHART_PROGRESSIVE = Progressive charts are useful for visualizing an accumulation over time.
VIS_DESCRIPTION_CHART_MAP = Maps are useful for showing how the values associated to geographical regions compare to each other.
VIS_DESCRIPTION_CHART_MARIMEKKO = Marimekko Charts are useful for showing how two sets of categories contribute to their respective wholes.
VIS_DESCRIPTION_CHART_RADAR = Radar charts display information around a polar axis, and are useful for analyzing cyclical data.

# 
# Section: RSN
# 
# Description: Labels that describe the reasons why a specific chart was selected
#
VIS_RULE_CATEGORY_AXIS_TIME_PREFERENCE = There is a time dimension on the category axis.
VIS_RULE_SINGLE_CATEGORY_PREFERENCE = There is only one dimension in the data.
VIS_RULE_MULTIPLE_CATEGORY_PREFERENCE = There is more than one dimension in the data.
VIS_RULE_TWO_MEASURE_PREFERENCE = There are two measures in the data.
VIS_RULE_THREE_MEASURE_PREFERENCE = There are three measures in the data.
VIS_RULE_MULTIPLE_MEASURE_PREFERENCE = There is more than one measure in the data.
VIS_RULE_SINGLE_MEASURE_PREFERENCE = There is only one measure in the data.
VIS_RULE_TWO_D_PREFERENCE = The data is clearer in a chart without depth.
VIS_RULE_TWO_CATEGORY_PREFERENCE = There are only two dimensions in the data.
VIS_RULE_SMALL_NUMBER_CATEGORY_PREFERENCE = There are only a small number of values in the data.
VIS_RULE_METRICS_OF_DIFFERENT_CONCEPTS = The measures are of different types.
VIS_RULE_METRICS_OF_SAME_CONCEPTS = The measures are of the same type.
VIS_RULE_SUMMARY_CATEGORY_AXIS = This chart is effective at showing the values that make up the total.
VIS_RULE_LINE_MARKERS = Chart markers make the data points clearer.
VIS_RULE_AGGREGATION_AVERAGE = The values are averages in the data.
VIS_RULE_AGGREGATION_SUMMED = The values are sums in the data.
VIS_RULE_PERCENTAGE_MEASURE = The values are percentages in the data.
VIS_RULE_PIE = Pie charts show the relative values more clearly.
VIS_RULE_PREFERENCE_MEASURES_SERIES = Measures in the legend make it easier to compare the measures.
VIS_RULE_PREFERENCE_MANY_CATEGORIES = There are two or more values in the data.
VIS_RULE_NO_LABELS_ON_MAP_PREFERENCE = This data is clearer in a Map without labels.

# 
# Section: CG
# 
# Description: Labels describing the name of a chart group
#
IDS_CHART_GROUP_PIE_DONUT = Pie Chart
IDS_CHART_GROUP_COLUMN = Column Chart
IDS_CHART_GROUP_BAR = Bar Chart
IDS_CHART_GROUP_STACKEDCOLUMN = Stacked Column Chart
IDS_CHART_GROUP_STACKEDBAR = Stacked Bar Chart
IDS_CHART_GROUP_LINE = Line Chart
IDS_CHART_GROUP_AREA = Area Chart
IDS_CHART_GROUP_TABLE = Table
IDS_CHART_GROUP_POINT = Point Chart
IDS_CHART_GROUP_SCATTER = Scatter Chart
IDS_CHART_GROUP_BUBBLE = Bubble Chart
IDS_CHART_GROUP_GAUGE = Gauge Chart
IDS_CHART_GROUP_COMBINATION = Combination Chart
IDS_CHART_GROUP_BULLET = Bullet Chart
IDS_CHART_GROUP_PARETO = Pareto Chart
IDS_CHART_GROUP_PROGRESSIVE = Progressive Chart
IDS_CHART_GROUP_MARIMEKKO = Marimekko Chart
IDS_CHART_GROUP_RADAR = Radar Chart
IDS_CHART_GROUP_MAPS = Map

# 
# Section: CEK
# 
# Description: Descriptive keword to describe the main elements that compose a chart
#
IDS_CHART_FIELD_CATEGORY_X = X-axis:
IDS_CHART_FIELD_CATEGORY_Y = Y-axis:
IDS_CHART_FIELD_CATEGORY_POLAR = Categories:
IDS_CHART_FIELD_MEASURE_RADIUS = Radius:
IDS_CHART_FIELD_MEASURE_ANGLE = Angle:
IDS_CHART_FIELD_CATEGORY_PIE = Pies:
IDS_CHART_FIELD_CATEGORY_GAUGE = Gauges:
IDS_CHART_FIELD_CATEGORY_BULLET = Bullets:
IDS_CHART_FIELD_CATEGORY_SHAPE = Shape:
IDS_CHART_FIELD_CATEGORY_DATA_POINTS = Data Points:
IDS_CHART_FIELD_SERIES = Color:
IDS_CHART_FIELD_SERIES_PIE = Slices:
IDS_CHART_FIELD_SERIES_GUAGE = Needles:
IDS_CHART_FIELD_MEASURE = Values:
IDS_CHART_FIELD_MEASURE_COLUMNS = Column Values:
IDS_CHART_FIELD_MEASURE_LINE = Line Values:
IDS_CHART_FIELD_MEASURE_BOTTOM = Bottom Chart Values:
IDS_CHART_FIELD_MEASURE_X = X-axis:
IDS_CHART_FIELD_MEASURE_Y = Y-axis:
IDS_CHART_FIELD_MEASURE_BUBBLE = Size:
IDS_CHART_FIELD_MEASURE_ACTUAL = Actual Values:
IDS_CHART_FIELD_MEASURE_TARGET = Target Values:
IDS_CHART_FIELD_ROWS = Rows:
IDS_CHART_FIELD_COLUMNS = Columns:
IDS_CHART_FIELD_REGION = Region:
IDS_CHART_FIELD_POINT = Point:

# 
# Section: CN
# 
# Description: Labels describing the name of a chart
#
IDS_JS_CHART_BAR = Bar
IDS_JS_CHART_BAR_3D = Bar with 3-D Visual Effect
IDS_JS_CHART_BAR_CYLINDER = Cylinder Bar
IDS_JS_CHART_BAR_3D_CYLINDER = Cylinder Bar with 3-D Visual Effect
IDS_JS_CHART_STACKED_BAR = Stacked Bar
IDS_JS_CHART_STACKED_BAR_3D = Stacked Bar with 3-D Visual Effect
IDS_JS_CHART_PERCENT_STACKED_BAR = 100% Stacked Bar
IDS_JS_CHART_PERCENT_STACKED_BAR_3D = 100% Stacked Bar with 3-D Visual Effect
IDS_JS_CHART_STACKED_BAR_CYLINDER = Stacked Cylinder Bar
IDS_JS_CHART_STACKED_BAR_3D_CYLINDER = Stacked Cylinder Bar with 3-D Visual Effect
IDS_JS_CHART_PERCENT_STACKED_BAR_CYLINDER = 100% Stacked Cylinder Bar
IDS_JS_CHART_PERCENT_STACKED_BAR_3D_CYLINDER = 100% Stacked Cylinder Bar with 3-D Visual Effect
IDS_JS_CHART_COLUMN = Column
IDS_JS_CHART_COLUMN_3D = Column with 3-D Visual Effect
IDS_JS_CHART_COLUMN_CYLINDER = Cylinder
IDS_JS_CHART_COLUMN_3D_CYLINDER = Cylinder with 3-D Visual Effect
IDS_JS_CHART_STACKED_COLUMN = Stacked Column
IDS_JS_CHART_STACKED_COLUMN_3D = Stacked Column with 3-D Visual Effect
IDS_JS_CHART_PERCENT_STACKED_COLUMN = 100% Stacked Column
IDS_JS_CHART_PERCENT_STACKED_COLUMN_3D = 100% Stacked Column with 3-D Visual Effect
IDS_JS_CHART_STACKED_COLUMN_CYLINDER = Stacked Cylinder
IDS_JS_CHART_STACKED_COLUMN_3D_CYLINDER = Stacked Cylinder with 3-D Visual Effect
IDS_JS_CHART_PERCENT_STACKED_COLUMN_CYLINDER = 100% Stacked Cylinder
IDS_JS_CHART_PERCENT_STACKED_COLUMN_3D_CYLINDER = 100% Stacked Cylinder with 3-D Visual Effect
IDS_JS_CHART_STACKED_AREA = Stacked Area
IDS_JS_CHART_STACKED_AREA_3D = Stacked Area with 3-D Visual Effect
IDS_JS_CHART_PERCENT_AREA = 100% Stacked Area
IDS_JS_CHART_PERCENT_AREA_3D = 100% Stacked Area with 3-D Visual Effect
IDS_JS_CHART_STACKED_AREA_SMOOTH = Stacked Area Smooth
IDS_JS_CHART_STACKED_AREA_3D_SMOOTH = Stacked Area Smooth with 3-D Visual Effect
IDS_JS_CHART_PERCENT_AREA_SMOOTH = 100% Stacked Area Smooth
IDS_JS_CHART_PERCENT_AREA_3D_SMOOTH = 100% Stacked Area Smooth with 3-D Visual Effect
IDS_JS_CHART_LINE = Line
IDS_JS_CHART_LINE_WITH_MARKERS = Line with Markers
IDS_JS_CHART_LINE_3D = Line with 3-D Visual Effect
IDS_JS_CHART_LINE_WITH_3D_MARKERS = Line with 3-D Visual Effect Markers
IDS_JS_CHART_LINE_WITH_CIRCLE_MARKERS = Line with Circle Markers
IDS_JS_CHART_LINE_WITH_HIGH_LOW_MARKERS = Line with High and Low Markers
IDS_JS_CHART_LINE_SMOOTH = Smooth Line
IDS_JS_CHART_LINE_SMOOTH_3D = Smooth Line with 3-D Visual Effect
IDS_JS_CHART_STEP_LINE = Step Line
IDS_JS_CHART_STEP_LINE_3D = Step Line with 3-D Visual Effect
IDS_JS_CHART_PIE = Pie
IDS_JS_CHART_DONUT = Donut
IDS_JS_CHART_PIE_3D = Pie with 3-D Visual Effect
IDS_JS_CHART_DONUT_3D = Donut with 3-D Visual Effect
IDS_JS_CHART_PIE_3D_ROUND_BEVEL = Pie with 3-D Visual Effect and Rounded Bevel
IDS_JS_CHART_DONUT_3D_ROUND_BEVEL = Donut with 3-D Visual Effect and Rounded Bevel
IDS_JS_CHART_DIAL_GAUGE = Dial Gauge
IDS_JS_CHART_DIAL_GAUGE_NOBORDER = Dial Gauge Without a Border
IDS_JS_CHART_DIAL_GAUGE_TOP_NOBORDER = Half Circle Dial Gauge Without a Border
IDS_JS_CHART_DIAL_GAUGE_BOTTOM_NOBORDER = Bottom Half Circle Dial Gauge Without a Border
IDS_JS_CHART_DIAL_GAUGE_TOP_LEFT_NOBORDER = Top Left Quarter Circle Dial Gauge Without a Border
IDS_JS_CHART_DIAL_GAUGE_TOP_RIGHT_NOBORDER = Top Right Quarter Circle Dial Gauge Without a Border
IDS_JS_CHART_DIAL_GAUGE_BOTTOM_LEFT_NOBORDER = Bottom Left Quarter Circle Dial Gauge Without a Border
IDS_JS_CHART_DIAL_GAUGE_BOTTOM_RIGHT_NOBORDER = Bottom Right Quarter Circle Dial Gauge Without a Border
IDS_JS_CHART_POINT = Point
IDS_JS_CHART_POINT_CIRCLE = Point with Circle Markers
IDS_JS_CHART_POINT_3D = Point with 3-D Markers
IDS_JS_CHART_POINT_SPHERE = Point with Sphere Markers
IDS_JS_CHART_SCATTER = Scatter
IDS_JS_CHART_SCATTER_SYMBOLS = Scatter with Changing Markers
IDS_JS_CHART_SCATTER_3D = Scatter with 3-D Visual Effect Markers
IDS_JS_CHART_SCATTER_QUADRANT = Scatter with Quadrants
IDS_JS_CHART_BUBBLE = Bubble
IDS_JS_CHART_BUBBLE_3D = Bubble with 3-D Visual Effect
IDS_JS_CHART_BUBBLE_QUADRANT = Bubble with Quadrants
IDS_JS_CHART_CROSSTAB = Crosstab
IDS_JS_CHART_LIST_TABLE = List Table
IDS_JS_CHART_COMBINATION = Combination Chart
IDS_JS_CHART_BULLET = Bullet Chart
IDS_JS_CHART_BULLET_VERTICAL = Vertical Bullet Chart
IDS_JS_CHART_BULLET_GRAY = Gray-scale Bullet Chart
IDS_JS_CHART_BULLET_GRAY_VERTICAL = Gray-scale Vertical Bullet Chart
IDS_JS_CHART_HORIZONTAL_PARETO = Horizontal Pareto Chart
IDS_JS_CHART_HORIZONTAL_PARETO_DEPTH = Horizontal Pareto Chart with 3D Visual Effect
IDS_JS_CHART_PARETO = Pareto Chart
IDS_JS_CHART_PARETO_DEPTH = Pareto Chart with 3D Visual Effect
IDS_JS_CHART_HORIZONTAL_PROGRESSIVE = Horizontal Progressive Chart
IDS_JS_CHART_HORIZONTAL_PROGRESSIVE_DEPTH = Horizontal Progressive Chart with 3D Visual Effect
IDS_JS_CHART_PROGRESSIVE = Progressive Chart
IDS_JS_CHART_PROGRESSIVE_DEPTH = Progressive Chart with 3D Visual Effect
IDS_JS_CHART_MAP = Map
IDS_JS_CHART_MAP_WITH_POINTLABELS = Map with point labels
IDS_JS_CHART_MAP_WITH_VALUELABELS = Map with value labels
IDS_JS_CHART_MAP_WITH_REGIONLABELS = Map with region labels
IDS_JS_CHART_MARIMEKKO = Marimekko Chart
IDS_JS_CHART_RADAR_LINE = Radar Chart
IDS_JS_CHART_RADAR_AREA = Stacked Area Radar Chart