Aggregate a set of records by facility IDs, using sum or count operations.
  Enables point symbol mapping.
  Other facilities in the selection (e.g. facilities in Snohomish County *without*
  reported CWA violations) can be identified and retrieved when the diff flag is True

  Parameters
  ----------
  records : DataSetResults object
      The records to aggregate. records should be a DataSetResults object created from
      a database query. In the :
      ds = make_data_sets(["CWA Violations"]) # Create a DataSet for handling the data
      snohomish_cwa_violations = ds["CWA Violations"].store_results(region_type="County", region_value=("SNOHOMISH",) state="WA") # Store results for this DataSet as a DataSetResults object
  program : String
      The name of the program, usually available from records.dataset.name
  other_records : Boolean
      When True, will retrieve other facilities in the selection
      (e.g. facilities in Snohomish County *without* reported CWA violations)

  Returns
  -------
  A dictionary containing:
    the aggregated results
    active facilities regulated under this program, but without recorded violations, inspections, or whatever the metric is (e.g. violations)
    the name of the new field that counts or sums up the relevant metric (e.g. violations)

minor fixes to variable names in example code

more minor fixes to example code

more minor changes to example code

add air emissions to `aggregate_by_facility`

  # Air emissions
  elif (program == "Greenhouse Gas Emissions" or program == "Toxic Releases"):
    data = data.groupby([records.dataset.idx_field, "FAC_NAME", "FAC_LAT", "FAC_LONG"]).agg({records.dataset.agg_col:'sum'})
    data['sum'] = data[records.dataset.agg_col]
    data = data.reset_index()
    aggregator = "sum" # keep track of which field we use to aggregate data, which may differ from the preset

add `agg_col`, `agg_type` and `units` to DMRs

Fixes #57 
?

Fixes #53

attempt to deal with tabs/spaces issue

fix indendation?

debug sql and test choropleth (#55)

add aggregation to toxic releases table (this is tricky because of differing pollutants - but if the data are filtered to a specific pollutant, this makes sense)

fix a problem with the units of GHG and TRI charts

fix error where unit was units in DMR data set presets

fix map in `choropleth()`

packaging branch is deleted

point to main instead

units -> unit

add key_id argument to bring back together data separated for the choropleth

delete old choropleth variables

Currently when it is a list we mush it together to make it appear on charts. But that has some downstream consquences for DataSet.region_value. Instead, only smush together the multi-selections when we make charts or store DataSet.results

fix `get_active_facilities()` format string

zc_str

add the Jupyter Notebook for the tutorials

add detailed notes about data interpretation

formatting quote/bullets

format example code

update tutorial notebook with interpretation and background sections of README

deletes `selector()`

fixes #58

creates `choropleth()`

fixes #55

This will break the missing data notebook, but we will make a note to fix that later

update zip code definition to match what's in the database

correct zip codes fields

change logic in `choropleth()`

fix `choropleth()` parameters

add tooltip to `choropleth()`

fixes #51

?

quick fix on `choropleth()` tooltip

change numpy dependency to 1.23.5, which is Google Colab's default