wiki:BrooklineVote

Bulk E-mailing

Did this on my home machine and it seems to work:

Database Work

2019-03-17

  • Added column V2018_0508_TOWN_STATUS to table frequent
  • Updated column using find_voter_changes.pl to have current data from table updated
  • Edit doorknock.cgi to include 2018 election (some rows are NULL, not sure if this is an issue)

So the updated frequent table has changes from the new data but old folks who may no longer be registered are not purged. Updated the mail_by_precinct.pl script to include 2018.

2019-03-16

Existing database in ~hazen/public_html/cgi-bin using test.db with two different scripts, doorknock.cgi and allvoters.cgi. Stored in http://edf.bu.edu/svn/edf/EricHome/BrooklineVote/DB/online

New data for 2019 in http://edf.bu.edu/svn/edf/EricHome/BrooklineVote/DB/March2019

Attempting import from TOWN_RECENT_PRECINCT13.03.119.csv but get error

Modify script import_csv.sql to insert "V" at front of any field name which starts with a digit, as this was done somehow in existing DB (e.g. "V2017-0502_TOWN_STATUS").

Create new table "updated" with new info from TOWN_RECENT_PRECINCT13.03.119.csv:

   $ ./import_csv.pl TOWN_RECENT_PRECINCT13.03.119.csv updated test.db

So, now what we need to do is to use this table to update both voters and frequent in the database, with all fields updated matched by residentid.

Confirmed that residentid is unique in all tables (voters, updated, frequent)

Wrote find_voter_changes.pl to update selected table (voters, frequent) with changes from TOWN_RECENT_PRECINCT13.03.119.csv

Used this to update the database which is now live. However, we need to add the latest column for 2018 votes to the frequent table.

2018-05-01

Mailing labels by precinct with selection or code based on HH age range and whether voted in 2017. Script mail_by_precinct.pl creates a CSV file for specified precinct with age limits and selection based on 2017 vote. Optionally print labels for entire precinct's households with 2 character code for gate/voting status.

Mailings done for Precincts 6, 8, 12.

Generate CSV file, then use LibreOffice? 5 to make labels:

  • Open CSV file and save as ODT (check "quoted field as text" in import)
  • File->New->Database
    • "Connect to Existing", "Spreadsheet", "Next"
    • "Next", uncheck "Open the database for editing"
    • Finish, save in file somewhere
  • File->New->Labels
    • Select database, table
    • Select label type "Avery Letter Size", "5160 Address"
    • Select and position fields (two leading spaces is good, blank line a t top too)
    • "New Document"
    • F4 or View->Data Sources
  • Tools->Mail Merge Wizard
    • "Next" 6 times to "Save, Print or Send"
    • Save merged document, Save as single document, "Save Documents"
    • Finish

2018-04-29

Thinking about mobile "door knock" page. Need:

  • Initial selection, done using existing DB search form
  • Select by street, sort numeric by house number

2018-04-07

Change requests:

  • Add mailing list extract: suppress duplicate addresses, identify likely addressee based on age.

This SQL gives a list of all the duplicated addresses:

   select streetname, streetno, aptno, count(*) 
   from frequent 
   group by streetname, streetno, aptno 
   having count(*) > 1;

Done as extract_mail.pl.

2018-01-01

Change requests:

  • Add 'not' option to negate search next to each form textbox (done)
  • make single '%' a special case which matches an non-NULL or non-blank value (done)

2018-03-25

Prototype working as r3070 in SVN "online" folder.

Change requests from Sara:

  • Add new column "comment" (text)
  • Add new column "voterid" (text)
  • Add new column "email" (text)
  • Add new column "electedofficial" (text) with name "ELO" or something
  • Add existing column "ocupation" (sic) [done]
  • Change HouseNo column title in table to "No" [done]
  • Rationalize form layout [done]
  • Sort by up to 4 columns [done]
  • Display query row count [done]
  • Date of Birth displayed as age in table [done]
  • Create an optimized print view [done]
  • Change column display order [done]:

ID, Precinct, No, Street, Apt, First, Last, Phone, EMail, Age, Sex, Occup., 15, 16, 17, Comment

2018-03-10

Wrote script import_csv.pl to import CSV to SQLite db. Seems to work but dates are not handled correctly. Now all data is in voters.db. Dump to sql using sqlite3 CLI .dump. Wrote perl script to re-format dates (fix_dates.pl) and create fixed DB voters_new.db).

Can't figure out how to extract year from date in SQLite except with:

substr(date(birthdate),1,4)).

This code will make a summary of ages by 5-year groups:

SELECT count(ROWID),                                                                                                                                
  (2018 - cast( substr( date( birthdate),1,4) as int))/5*5 as age                                                                                   
  from frequent                                                                                                                                     
  group by age                                                                                                                                      
  order by age;                                                                                                                                     

For frequent voters, this produces:

10,15
227,20
251,25
342,30
569,35
1000,40
1346,45
1314,50
1249,55
1342,60
1453,65
1486,70
1027,75
616,80
386,85
244,90
66,95
15,100

Thinking about apartment buildings. What we want is a query to generate a list of all unique addresses with more than n distinct apartment numbers. This seems promising:

select streetno, streetname, count(distinct aptno) 
from voters 
where aptno != '' 
group by streetname, streetno 
order by streetname, streetno;

Here is a version where we use a sub-select to filter the results to > 10 apartments per address:

SELECT sub.*                                                                                                                                             
  FROM(                                                                                                                                                  
    SELECT streetno, streetname, count(distinct aptno) AS napt                                                                                           
    FROM voters                                                                                                                                          
    WHERE aptno != ''                                                                                                                                    
    GROUP BY streetname, streetno                                                                                                                        
    ORDER BY napt desc                                                                                                                                   
  ) sub                                                                                                                                                  
  WHERE sub.napt > 10;

This is not very accurate because not all apartments have registered voters in them. In fact, it would be useful to know what fraction of each large multi-unit actually have frequent voters. For this I think we need to pull in the property database.

Last modified 8 months ago Last modified on Mar 17, 2019, 10:17:47 AM