Pre-Harris july

_assets/objs/2024vote.csv

@@ -1,57 +1,57 @@
-st,biden_pop,trump_pop,margin,biden_col,trump_col
-AK,153778,189951,-36173,0,3
-AL,849624,1441170,-591546,0,9
-AR,423932,760647,-336715,0,6
-AZ,1672143,1661686,10457,11,0
-CA,11110639,6006518,5104121,54,0
-CO,1804352,1364607,439745,10,0
-CT,1080831,714717,366114,7,0
-DC,317323,18586,298737,3,0
-DE,296268,200603,95665,3,0
-FL,5297045,5668731,-371686,0,30
-GA,2473633,2461854,11779,16,0
-HI,366130,196864,169266,4,0
-IA,759061,897672,-138611,0,6
-ID,287021,554119,-267098,0,4
-IL,3471915,2446891,1025024,19,0
-IN,1242498,1729857,-487359,0,11
-KS,570323,771406,-201083,0,6
-KY,772474,1326646,-554172,0,8
-LA,856034,1255776,-399742,0,8
-MA,2382202,1167202,1215000,11,0
-MD,1985023,976414,1008609,10,0
-ME,435072,360737,74335,1,0
-ME1,266376,164045,102331,1,0
-ME2,168696,196692,-27996,0,2
-MI,2804040,2649852,154188,15,0
-MN,1717077,1484065,233012,10,0
-MO,1253014,1718736,-465722,0,10
-MS,539398,756764,-217366,0,6
-MT,244786,343602,-98816,0,4
-NC,2684292,2758775,-74483,0,16
-ND,115042,235751,-120709,0,3
-NE,374583,556846,-182263,0,1
-NE1,132261,180290,-48029,0,1
-NE2,176468,154377,22091,1,0
-NE3,65854,222179,-156325,0,2
-NH,424937,365660,59277,4,0
-NJ,2608400,1883313,725087,14,0
-NM,501614,401894,99720,5,0
-NV,703486,669890,33596,6,0
-NY,5244886,3251997,1992889,28,0
-OH,2679165,3154834,-475669,0,17
-OK,503890,1020280,-516390,0,7
-OR,1340383,958448,381935,8,0
-PA,3458229,3377674,80555,19,0
-RI,307486,199922,107564,4,0
-SC,1091541,1385103,-293562,0,9
-SD,150471,261043,-110572,0,3
-TN,1143711,1852475,-708764,0,11
-TX,5259126,5890347,-631221,0,40
-UT,560282,865140,-304858,0,6
-VA,2413568,1962430,451138,13,0
-VT,242820,112704,130116,3,0
-WA,2369612,1584651,784961,12,0
-WI,1630866,1610184,20682,10,0
-WV,235984,545382,-309398,0,4
-WY,73491,193559,-120068,0,3
+st,biden_pop,trump_pop,margin,biden_col,trump_col,total_pop,pct,slice
+AK,153778,189951,-36173,0,3,343729,0.4473815127615069,-0.052618487238493106
+AL,849624,1441170,-591546,0,9,2290794,0.3708862516664528,-0.12911374833354722
+AR,423932,760647,-336715,0,6,1184579,0.3578756672201685,-0.1421243327798315
+AZ,1672143,1661686,10457,11,0,3333829,0.5015683167912931,0.0015683167912931006
+CA,11110639,6006518,5104121,54,0,17117157,0.6490937134011214,0.14909371340112143
+CO,1804352,1364607,439745,10,0,3168959,0.5693831949230015,0.06938319492300149
+CT,1080831,714717,366114,7,0,1795548,0.6019504908807785,0.10195049088077845
+DC,317323,18586,298737,3,0,335909,0.9446695384761944,0.4446695384761944
+DE,296268,200603,95665,3,0,496871,0.5962674416498447,0.09626744164984469
+FL,5297045,5668731,-371686,0,30,10965776,0.48305245337858443,-0.016947546621415566
+GA,2473633,2461854,11779,16,0,4935487,0.5011932966290864,0.0011932966290864044
+HI,366130,196864,169266,4,0,562994,0.6503266464651488,0.15032664646514882
+IA,759061,897672,-138611,0,6,1656733,0.4581673691536295,-0.04183263084637051
+ID,287021,554119,-267098,0,4,841140,0.3412285707492213,-0.1587714292507787
+IL,3471915,2446891,1025024,19,0,5918806,0.5865904373280693,0.08659043732806926
+IN,1242498,1729857,-487359,0,11,2972355,0.4180180362036163,-0.08198196379638367
+KS,570323,771406,-201083,0,6,1341729,0.4250657174436865,-0.07493428255631351
+KY,772474,1326646,-554172,0,8,2099120,0.36799897099737033,-0.13200102900262967
+LA,856034,1255776,-399742,0,8,2111810,0.4053555954370895,-0.09464440456291051
+MA,2382202,1167202,1215000,11,0,3549404,0.6711554954014815,0.17115549540148145
+MD,1985023,976414,1008609,10,0,2961437,0.6702904704709234,0.17029047047092338
+ME,435072,360737,74335,2,0,795809,0.5467040458200397,0.04670404582003973
+ME1,266376,164045,102331,1,0,430421,0.618873149776614,0.118873149776614
+ME2,168696,196692,-27996,0,1,365388,0.4616900390817432,-0.03830996091825678
+MI,2804040,2649852,154188,15,0,5453892,0.5141355934440947,0.014135593444094652
+MN,1717077,1484065,233012,10,0,3201142,0.5363951364856667,0.036395136485666724
+MO,1253014,1718736,-465722,0,10,2971750,0.4216417935559855,-0.07835820644401448
+MS,539398,756764,-217366,0,6,1296162,0.4161501417261114,-0.08384985827388858
+MT,244786,343602,-98816,0,4,588388,0.41602819907951893,-0.08397180092048107
+NC,2684292,2758775,-74483,0,16,5443067,0.49315799346214184,-0.0068420065378581585
+ND,115042,235751,-120709,0,3,350793,0.3279483912164724,-0.1720516087835276
+NE,374583,556846,-182263,0,1,931429,0.40215947753398273,-0.09784052246601727
+NE1,132261,180290,-48029,0,1,312551,0.4231661392860685,-0.0768338607139315
+NE2,176468,154377,22091,1,0,330845,0.5333857244328916,0.03338572443289156
+NE3,65854,222179,-156325,0,2,288033,0.22863352463085826,-0.2713664753691417
+NH,424937,365660,59277,4,0,790597,0.5374887584951625,0.03748875849516253
+NJ,2608400,1883313,725087,14,0,4491713,0.5807138612818762,0.08071386128187619
+NM,501614,401894,99720,5,0,903508,0.5551849015171975,0.05518490151719746
+NV,703486,669890,33596,6,0,1373376,0.512231173400438,0.012231173400438
+NY,5244886,3251997,1992889,28,0,8496883,0.6172717689533915,0.11727176895339153
+OH,2679165,3154834,-475669,0,17,5833999,0.45923302352297285,-0.04076697647702715
+OK,503890,1020280,-516390,0,7,1524170,0.3305996050309349,-0.16940039496906512
+OR,1340383,958448,381935,8,0,2298831,0.5830715698544173,0.08307156985441733
+PA,3458229,3377674,80555,19,0,6835903,0.5058920525934906,0.005892052593490571
+RI,307486,199922,107564,4,0,507408,0.6059935988395926,0.10599359883959258
+SC,1091541,1385103,-293562,0,9,2476644,0.44073391250417904,-0.05926608749582096
+SD,150471,261043,-110572,0,3,411514,0.365652201383185,-0.134347798616815
+TN,1143711,1852475,-708764,0,11,2996186,0.38172229627933646,-0.11827770372066354
+TX,5259126,5890347,-631221,0,40,11149473,0.4716927876322047,-0.02830721236779532
+UT,560282,865140,-304858,0,6,1425422,0.39306394878148365,-0.10693605121851635
+VA,2413568,1962430,451138,13,0,4375998,0.551546869993999,0.051546869993999045
+VT,242820,112704,130116,3,0,355524,0.6829918655280656,0.18299186552806557
+WA,2369612,1584651,784961,12,0,3954263,0.599255031847907,0.09925503184790696
+WI,1630866,1610184,20682,10,0,3241050,0.5031906326653399,0.003190632665339921
+WV,235984,545382,-309398,0,4,781366,0.3020146768607797,-0.1979853231392203
+WY,73491,193559,-120068,0,3,267050,0.27519565624414905,-0.22480434375585095

_assets/scripts/constants.jl

@@ -45,7 +45,7 @@ const TIE     = 269
 
 # biden won 6 of the 7 swing states
 # trump won NC
-const BLUE    = 225
+const BLUE    = 226
 const RED     = 220
 
 # Create a color scale with discrete colors for each value

_assets/scripts/all_votes.jl → _assets/scripts/debris/all_votes.jl

@@ -1,4 +1,4 @@
-# find popular votes for all candidates in swing STATES
+ find popular votes for all candidates in swing STATES
 # for purpose of applying a finite population correction factor
 # BUT only in the event of a sample so large as to represent
 # MORE than 5% of the population; this possibly could be

_assets/scripts/bayes2.jl → _assets/scripts/debris/bayes2.jl

@@ -88,8 +88,6 @@ function add_poll!(month::Month, state::State, pollster::Pollster, poll::Poll)
     push!(months[month][state][pollster], normalized_poll)
 end
 
-add_poll!(mar, AZ, bl2, Poll(42., 49., 788))
-
 add_poll!(mar, AZ, bl2, Poll(42., 49., 788))
 add_poll!(mar, AZ, ec2, Poll(44., 48., 1000))
 add_poll!(mar, AZ, ws2, Poll(44., 47., 600))

_assets/scripts/debris/func.jl

@@ -1,82 +1,56 @@
+"""
+    without_states(lost::Vector{String}) -> DataFrame
 
-function find_combinations(target::Int64)
-    less_than_target    = Set()
-    equal_to_target     = Set()
-    greater_than_target = Set()
-    for i in 1:length(swing_col)
-        for combination in combinations(collect(keys(swing_col)), i)
-            sum_values = sum(swing_col[state] for state in combination)
-            if sum_values < target
-                push!(less_than_target, combination)
-            elseif sum_values == target
-                push!(equal_to_target, combination)
-            else
-                push!(greater_than_target, combination)
-            end
-        end
-    end
-    return (
-        less_than_target    = collect(less_than_target),
-        equal_to_target     = collect(equal_to_target),
-        greater_than_target = collect(greater_than_target)
-    )
+Find and return rows from the `outcomes` DataFrame where the `combo` column does not contain any of the states specified in the `lost` vector and where the result is "Harris".
+
+# Arguments
+- `lost::Vector{String}`: A vector of strings where each string represents a state to be excluded from the `combo` column.
+
+# Returns
+- `DataFrame`: A DataFrame containing rows that meet the criteria.
+
+# Examples
+```julia
+without_states(["PA", "NC"])
+header = ["Scenario", "Electoral Votes", "Harris Total", "Trump Total", "Result"]
+pretty_table(without_states["PA"]; backend = Val(:html), header = header, standalone = false)
+"""
+function without_states(lost::Vector{String})
+    filter(row -> all(!occursin(state, row.combo) for state in lost) && row.result == "Harris", outcomes)
 end
 #------------------------------------------------------------------
+"""
+  metahelp()
 
-function electoral_map(data,kindof)
-    if kindof == "pop"
-        pastel  = greens
-        titular = titlecase(kindof *"ular")
-    else
-        pastel = purples
-        titular = "Electoral"
-    end
+shows MetaFrame structure and give example
 
-    color_scale = [
-        (0.0, pastel[1]),
-        (0.2, pastel[2]),
-        (0.4, pastel[3]),
-        (0.6, pastel[4]),
-        (0.8, pastel[5]),
-        (1.0, pastel[6])
-    ]
-    # Create the data for the choropleth map
-    data = choropleth(
-        locationmode = "USA-states",
-        locations = states,
-        z = data,
-        colorscale = color_scale,
-        colorbar = attr(
-            title = titular * "Votes",
-            #tickvals = unique(input),
-            #ticktext = string.(unique(input))
-        ),
-        zmin = minimum(input),
-        zmax = maximum(input)
-    )
-
-    # Create the layout for the map
-    layout = Layout(
-        title = titular * " Vote by Swing State",
-        geo = attr(
-            scope = "usa",
-            projection_type = "albers usa",
-            showlakes = true,
-            lakecolor = "rgb(255, 255, 255)"
-        )
-    )
-# Create the plot
-    plot(data, layout)
+mutable struct MetaFrame
+    meta::Dict{Symbol, Any}
+    data::DataFrame
 end
 
+# Example usage
+df = DataFrame(name=["John", "Jane"], age=[28, 34])
+meta_info = Dict(:source => "Survey Data", :year => 2021)
+
+df = MetaFrame(meta_info, df)
+
+meta_info = Dict(
+  :source => "Census Bureau, Current Population Survey, November 2022", 
+  :title  =>  "Table 4c. Reported Voting and Registration of the Total Voting-Age Population, by Age, for States: November 2022",
+  :url => "https://www.census.gov/data/tables/time-series/demo/voting-and-registration/p20-586.html", 
+  :title => "Table 4c. Reported Voting and Registration of the Total Voting-Age Population, by Age, for States: November 2022")
+"""
+function metahelp()
+  println("Display with ?metahelp")
+end
 #------------------------------------------------------------------
-# Function to determine the result based on the value of `biden`
-function determine_result(biden_value)
-    if biden_value    == 269
-        return "tie"
-    elseif biden_value < 269
-        return "Trump"
-    else
-        return "Harris"
-    end
+
+function radix(df::DataFrame)
+	for col in names(df)
+	    if eltype(df[:, col]) == Int64
+	        df[:, col] = format.(df[:, col], commas=true)
+	    end
+	end
 end
+