Missing rows in the dataframe; not showing up on the map

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Some of the rows aren't getting rendered on the map. Why?

INFO:root:The original dataframe has 1296 rows. There are 1208 rows in the filtered dataframe. There are 1208 markers on the map.

That's ~90 rows missing, even with all options/checked. There shouldn't be any actual filtering going on.

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missing_rows.csv
Using e342270 I was able to generate a CSV containing the missing rows.

The only thing every missing row has in common is a malformed popup_html cell. Why?

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(maybe related) I'm missing some subtypes and rental terms:

>>> df.subtype.unique()
array(['CONDO', 'APT', 'SFR/D', 'SFR/A', 'STUD/A', 'SFR', 'APT/A',
       'MANL/D', 'TPLX/A', 'QUAD/A', 'CONDO/A', 'APT/D', 'DPLX/A',
       'TPLX/D', 'TWNHS/A', 'TWNHS', nan, 'DPLX/D', 'CONDO/D', 'STUD/D',
       'QUAD/D', 'TWNHS/D', 'RMRT/A', 'CABIN/D', 'RMRT/D'], dtype=object)

I def don't have CABIN/D, RMRT/D, or STUD/D defined in Dash.

>>> df.Terms.unique()
<StringArray>
['12M', 'NG', <NA>, '6M', 'MO', '24M', 'STL']
Length: 7, dtype: string

NA, 6M, and STL aren't defined in Dash either.

f6d1404 and 410703f resolve the missing terms. Will look into the missing subtypes later.

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689f96d fixes the subtype bug. We're close to displaying the whole dataframe now:

The resulting filtered dataframe has 1950 rows and 1950 markers out of 1965 total rows.

Still 15 rows missing.