The console app requires two parameters:
e.g. fundamental-figures fundamental-figures.json hamilton
Other options:
-in|--input-path to specify the local path where input .csv files will be cached, defaults to './input'-out|--output-path to specify the local path where the output file will be written, defaults to './output'-t|--output-type to select output file type, one or more of 'excel', 'json', 'csv', or 'yaml', default is 'excel'-o|--open-output-file to open the output file in your default file handler when processing is complete-?|-h|--help to show help informationInstead of running the console app once per search term, you can supply a newline-separated file of search terms as an @-file argument:
fundamental-figures ..\fundamental-figures.json @..\territorial-authorities.txt -t excel -t json -t csv -t yaml
The .json configuration file populates an instance of the Figure class.
An empty Figure looks like this:
{
"datasets": [
]
}…where datasets is a collection of instances of the Dataset class.
We've provided the configuration file we use to build https://places.figure.nz/ in this reposistory (see fundamental-figures.json). You can use that file directly, or build your own configuration file.
A Dataset looks like this:
{
"source": "https://figure.nz/table/xxxxxxxxxxxxxxxxxxxxx/download",
"parent": "Name of section that this dataset will be displayed under in the output file",
"selector": "Name of the column that we search, defaults to 'Territorial Authority'",
"measure": [ // <-- List of columns that define the measure. More than one column indicates a "group by" operation
{
"name": "Name of column in the input .csv file",
"separator": "Text to separate this measure column from subsequent measure columns in this measure for display purposes, defaults to ' — '",
"include": [
{
"value": "Include row only if the column matches this value",
"label": "Transform this column's value to this text for display purposes, defaults to 'null'",
"convert-to-percentage": false // <-- [OPTIONAL] Calculate each category's value as a percentage of the overall measurement total, defaults to 'false'
}
],
"exclude": [
"Exclude row if the column matches this value",
"Exclude row if the column matches this other value"
]
}
],
"category": [ // <-- List of columns that define the category. More than one column indicates a "group by" operation. Uses the same schema as "measure"
{
"name": "Name of column in the input .csv file",
"include": [
{
"value": "Include row only if the column matches this value"
}
],
"exclude": []
}
],
"value": "Name of the column that holds the value of each row, defaults to 'Value'",
"valueUnit": "Name of the column that holds the value unit of each row, defaults to 'Value Unit'",
"valueLabel": "Name of the column that holds the value label of each row, defaults to 'Value Label'",
"nullReason": "Name of the column that holds the null reason for each row, defaults to 'Null Reason'",
"date": "Name of column that contains the date of the measurement",
"all-selectors-match-term": "If the input term equals this value assume *all* rows in this csv are candidates for processing, defaults to 'null' which means we'll compare the input term with the selector value for each row",
"exclude-zero-values": false, // <-- Exclude zero values from the final grouped result set, defaults to 'false'
"term-mapping": "Path to a file that defines alternate terms, e.g. map 'Auckland' to 'Auckland District Health Board' and 'Auckland City Council' to include rows with those terms as well. Defaults to null, which means no mappings will be loaded."
}A starting point for a dataset is:
{
"source": "https://figure.nz/table/xxxxxxxxxxxxxxxxxxxxx/download",
"parent": "",
"selector": "Territorial Authority",
"measure": [
{
"name": "",
"separator": " — ",
"include": [
{
"value": "",
"label": ""
},
{
"value": "",
"label": ""
}
],
"exclude": [
"",
""
]
},
{
"name": "",
"include": [
{
"value": "",
"label": ""
},
{
"value": "",
"label": ""
}
],
"exclude": [
"",
""
]
}
],
"category": [
{
"name": "",
"include": [
{
"value": "",
"label": ""
},
{
"value": "",
"label": ""
}
],
"exclude": [
"",
""
]
}
],
"date": ""
}To solve the "Auckland problem", where Auckland has its own csv file for a dataset that contains individual Local Board Areas, create a duplicate dataset and set the all-selectors-match-term value:
{
"uri": "https://figure.nz/table/xxxxxxxxxxxxxxxxxxxxy/download",
...
"all-selectors-match-term": "Auckland",
"selector": "Local Board Area", // <-- The column that holds the selectors we want to match
...
}
We've provided two examples of mapping files in this repository:
A term mapping file looks like this:
{
"Auckland": [
"Auckland District Health Board",
"Auckland City Council"
],
"Wellington": [
"Capital and Coast District Health Board",
"Wellington City Council"
]
}Use the FigureNZ.FundamentalFigures.Migrator project. It's a console app that takes the path to your old configuration file, and writes a -migrated.json version of the file to the same location.
e.g. fundamental-figures-migrator ../fundamental-figures.json