CSV implementation, SEO: title and h1 tags. Area just “World” if starts with World. Scoring depends on importance.  Search in alt_title. Name without “-“ (e.g. -datum, -axis,…)
Style of message in detail.tpl if document do not have wkt and have alt_description
SEO: title and h1. index.tpl - linked to searching a name.  result.tpl - alternative title. detail.tpl - conditions for displaying information, clickable map, alternative description in <div> if do not have wkt.
Import data from CRS_exceptions.csv, update document in index or create new document.
Search for kind in app.py, hide deprecated transformation if they are not available.
When alt_name and name is equal, do not write alternative name.
Searching through transformation area, Change facets_list for title and h1.  Search kind for detail.tpl.
Remove “popularity”. Change some field to by searchable. Addd area_code, area_trans_code, field for CRS_excetions, code_id as unique field. Change “primary” to 0.