Description Details License See Also

The `otvPlots`

package uses `data.table`

and `ggplot2`

packages to efficiently plot time series aggregated from large datasets.
Plots of numerical variables are optionally returned ordered by correlation
with date – a natural starting point for anomaly detection. Plots are
automatically labeled if a variable dictionary is provided.

Output files include:

A PDF file of plots saved as

`outFl`

.pdf, with each individual page on one variable. Variables are plotted in the order indicated in the argument`sortVars`

or`sortFn`

. For each numerical variable, the output plots includeside-by-side boxplots grouped by

`dateGpBp`

(left),a trace plot of p1, p50, and p99 percentiles, grouped by

`dateGp`

(top right),a trace plot of mean and +-1 SD control limits, grouped by

`dateGp`

(middle right), anda trace plot of missing and zero rates, grouped by

`dateGp`

(bottom right).

For each categorical variable (including a numerical variable with no more than 2 unique levels not including NA), the output plots include

a frequency bar plot (left), and

a grid of trace plots on categories' proportions over time (right). If the variable contains more than

`kCategories`

number of categories, trace plots of only the largest`kCategories`

will be plotted. If the variable contains only two categories, then only the trace plot of the less prevalent category will be plotted.

CSV file(s) on summary statistics of variables, both globally and over time aggregated by

`dateGp`

. The order of variables in the CSV files is the same as in the PDF file.For numerical variables, number of observations (counts), p1, p25, p50, p75, and p99 qunatiles, mean, SD, missing and zerorates are saved as

`outFl`

_numerical_summary.csv.For categorical varaibles, number of observations (counts) and categories' proportions are saved as

`outFl`

_categorical_summary.csv. Each row is a category of a categorical (or binary) variable. The row whose`category == 'NA'`

corresponds to missing. Categories among the same variable are ordered by global prevalence in a descending order.

Copyright 2017 Capital One Services, LLC Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Main function: `vlm`

.

Selected supporting functions:
`PrepData`

,
`PrepLabels`

,
`OrderByR2`

.

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