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Kyle Belanger 2024-08-07 09:26:02 -04:00
parent 6b3e184544
commit cd15995892
3 changed files with 40 additions and 1 deletions
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29
LearnJulia/src/amtrak.jl Normal file
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@ -0,0 +1,29 @@
using HTTP
using Gumbo
using Cascadia
url = "https://juckins.net/amtrak_status/archive/html/history.php?train_num=97&station=&date_start=07%2F01%2F2024&date_end=07%2F31%2F2024&df1=1&df2=1&df3=1&df4=1&df5=1&df6=1&df7=1&sort=schDp&sort_dir=DESC&co=gt&limit_mins=&dfon=1"
resp = HTTP.get(url)
page = parsehtml(String(resp.body))
# println(String(resp.body))
sel = Selector("table")
s = sel"tr"
eachmatch(sel, page.root)
rows = eachmatch(s, page.root)
# need to make this a nested for loopS
for i in rows
text = nodeText(eachmatch(Selector("tr"), i)[1])
println("$text")
end
for i in rows
e = eachmatch(Selector("tr"), i)
for x in e
text = nodeText(eachmatch(Selector("td"),x)[1])
println("$text")
end
end

9
LearnJulia/src/line_graph_blog_post.jl
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@ -16,7 +16,7 @@ x = replace(x, " " => "_", "+" => "pos", "(" => "", ")" => "", "%" => "pct")
return x return x
end end
#need to convert flu year to categroical #need to convert Month to categroical
df = @chain df_raw begin df = @chain df_raw begin
rename(format_names, _) rename(format_names, _)
@ -25,6 +25,13 @@ df = @chain df_raw begin
@rtransform :flu_year = ifelse(:month >= 10, :year + 1, :year) @rtransform :flu_year = ifelse(:month >= 10, :year + 1, :year)
end end
fig = Figure(; size = (600,400))
ax = Axis(fig[1,1])
lines!(ax, df.month, df.pct_tests_pos_for_influenza; color = df.flu_year)
plt = data(df) * mapping(:month, :pct_tests_pos_for_influenza; color = :flu_year) * visual(Lines) plt = data(df) * mapping(:month, :pct_tests_pos_for_influenza; color = :flu_year) * visual(Lines)
draw(plt) draw(plt)
fig

3
Project.toml
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@ -2,11 +2,14 @@
AlgebraOfGraphics = "cbdf2221-f076-402e-a563-3d30da359d67" AlgebraOfGraphics = "cbdf2221-f076-402e-a563-3d30da359d67"
CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b" CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
CairoMakie = "13f3f980-e62b-5c42-98c6-ff1f3baf88f0" CairoMakie = "13f3f980-e62b-5c42-98c6-ff1f3baf88f0"
Cascadia = "54eefc05-d75b-58de-a785-1a3403f0919f"
CategoricalArrays = "324d7699-5711-5eae-9e2f-1d82baa6b597" CategoricalArrays = "324d7699-5711-5eae-9e2f-1d82baa6b597"
Chain = "8be319e6-bccf-4806-a6f7-6fae938471bc" Chain = "8be319e6-bccf-4806-a6f7-6fae938471bc"
Cleaner = "caabdcdb-0ab6-47cf-9f62-08858e44f38f" Cleaner = "caabdcdb-0ab6-47cf-9f62-08858e44f38f"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0" DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
DataFramesMeta = "1313f7d8-7da2-5740-9ea0-a2ca25f37964" DataFramesMeta = "1313f7d8-7da2-5740-9ea0-a2ca25f37964"
Gumbo = "708ec375-b3d6-5a57-a7ce-8257bf98657a"
HTTP = "cd3eb016-35fb-5094-929b-558a96fad6f3"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80" Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
SQLite = "0aa819cd-b072-5ff4-a722-6bc24af294d9" SQLite = "0aa819cd-b072-5ff4-a722-6bc24af294d9"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91" StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"