Project Accelerators
Welcome to our repository of Studio project accelerators. Here you can download Studio projects built by Arria's NLG developers. These projects speed up your creation of NLG projects because the work of writing the narrative and analytics scripts is already done for you.
Name | Description | Download |
|---|---|---|
Box Plot | Provides a description of the data, indicating whether the dataset is skewed, the spread of the data, and whether there are any unusual observations. | |
Correlations | Transforms table data into an object that contains details of the correlations found in the data, and then describes those correlations. | |
Descriptive Statistics | Describes simple statistics (e.g. total, average, distribution) for a measure after performing a drilldown analysis using a specified path of dimensions. | |
Distinctive Ratios | Determines unusual ratios of records for a given measure and dimension compared to all other instances. | |
High/Low Dimensions in Path | Determines and describes which combinations of instances from a set of user-defined dimensions have significantly high or low values in the dataset. | |
Outliers | Finds outliers for a measure along different dimensions in the dataset. | |
Standard Drilldown | Transforms table data into an object that contains details of how different dimensions drive the overall value of a measure within a given time frame. | |
Target-based Variance | Analyzes and describes the performance of a measure compared to a target, and provides a breakdown of important drivers and offsets. | |
Time-based Variance | Analyzes and describes the performance of a measure between two periods, and provides a breakdown of important drivers and offsets. | |
Time-based Trend Analysis | Finds patterns of behavior in time-series data, and describes the segments for which the data values have increased, decreased, or remained level. | |
Trend Analysis for Target-based Variance | Analyzes trends in the performance of a measure against a target, provides a summary of the overall trend in the data, and describes the important trend segments found during analysis. |
