Click on all the charts to enlarge. R 3.2.2 Code is here. The 3D chart below looks at five races segregated by 'arbitrary' precinct groupings: 100 series (County), 200 series (Bellingham), 300 - 900 series (Small Cities). The race pairs are listed left to right.
The 3D Chart below gives us the totals for the four candidate races referenced above (not including the Jail Bond) aggregated red (left) vs. blue (right) rows as below.
Precincts numbers are non sequenced numeric factors that run from 101 - 801. If we sort those precincts numerically and then group them by 10, the difference between the Democrat sums and Republican sums for four races (from above) would look as below. For precinct reference the 100 series (County): 1 - 81; the 200 series (City) : 82 - 149; the 300 - 900 series (Small City) : 150 - 177.
3D perspectives that compare and contrasts matrices for (left to right) Jail Bond, Executive, Jail - Candidate matrix:
Top graph: Votes by precinct against the Jail Bond but not for Joy Gilfilen (approx ~14K).
Bottom graph: Votes by precinct for the Jail but not for Jack Louws (approx ~8K). These charts have been trimmed/normalized to remove high and low points.
The abstraction below aggregates precincts who had similar levels of "votes (ballots) good" into buckets and then gives us Jack, Joy, good (ballots) , registered totals aggregated for those buckets.
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