Fix notebook

This commit is contained in:
Jacob Windle 2023-05-01 22:04:44 -04:00
parent a3edd796bf
commit 3e6cfd397e

View File

@ -13,6 +13,8 @@ begin
using Dates using Dates
using Plots using Plots
using Statistics using Statistics
using StatsBase
using StatsPlots
end end
# ╔═╡ 9fee4ffb-83c0-46df-b84a-ef902a5e99ab # ╔═╡ 9fee4ffb-83c0-46df-b84a-ef902a5e99ab
@ -42,7 +44,6 @@ begin
# Start with some average time in each stage. Timestamp should be in a more usable # Start with some average time in each stage. Timestamp should be in a more usable
# format. # format.
metrics.ParsedTimestamp = DateTime.(metrics.Timestamp, dateformat"y-m-d H:M:S") metrics.ParsedTimestamp = DateTime.(metrics.Timestamp, dateformat"y-m-d H:M:S")
# Equivalent: metrics[:ParsedTimestamp], metrics[:, :ParsedTimestamp]
describe(metrics) describe(metrics)
end end
@ -151,15 +152,24 @@ md"""
begin begin
@pyimport garmin_fit_sdk @pyimport garmin_fit_sdk
fit_files = readdir("fit_files"; join=true) fit_files = readdir("./fit_files"; join=true)
function decode_fit_file(fp::AbstractString)::Tuple{Any,Any} function decode_fit_file(fp::AbstractString)::Tuple{Any,Any}
stream = garmin_fit_sdk.Stream.from_file(fp) stream = garmin_fit_sdk.Stream.from_file(fp)
decoder = garmin_fit_sdk.Decoder(stream) decoder = garmin_fit_sdk.Decoder(stream)
try
decoder.read() decoder.read()
finally
stream.close()
end
end end
decoded_fit_files = [dc[1] for dc in decode_fit_file.(fit_files)] decoded = []
for file fit_files
push!(decoded, decode_fit_file(file))
end
decoded_fit_files = [dc[1] for dc in decoded]
end end
# ╔═╡ 065c7811-0203-44fd-bb88-49946d674fd8 # ╔═╡ 065c7811-0203-44fd-bb88-49946d674fd8
@ -177,17 +187,193 @@ md"""
# ╔═╡ 39a46471-663e-4395-b4bd-2380932d7189 # ╔═╡ 39a46471-663e-4395-b4bd-2380932d7189
begin begin
decoded_fit_files[1]["record_mesgs"] function string_keys(d::Dict{Any,Any})::Dict{String,Any}
Dict([k => v for (k, v) in d if k isa AbstractString])
function extract_record_and_timestamp(fit_file::Dict{Any, Any})::Tuple{DateTime, Vector{Dict{Any, Any}}}
ts = DateTime(fit_file["activity_mesgs"][1]["timestamp"])
records = filter(x -> x isa AbstractString)
ts, fit_file["record_mesgs"]
end end
extract_record_and_timestamp.(decoded_fit_files) function extract_record_and_timestamp(fit_file::Dict{Any, Any})
ts = DateTime(fit_file["activity_mesgs"][1]["timestamp"])
messages = string_keys.(fit_file["record_mesgs"])
try
ts, DataFrame(messages)
catch
nothing
end
end
decoded_files = extract_record_and_timestamp.(decoded_fit_files)
end end
# ╔═╡ ed9e2e1f-cebe-4a0b-969a-93d344578a28
md"""
## Mapping my data to DataFrame
- Extract the data needed
- Write function that pulls data out of PyDict
"""
# ╔═╡ b7854b76-eb0e-4d78-9bd6-9b0258a725ba
describe(decoded_files[1][2])
# ╔═╡ 3e1d6c7b-41b5-435a-88f0-b0f3ab442662
begin
# A generic graph_run function
function graph_run(decoded_file::Tuple{DateTime, DataFrame})
label = "Run on $(decoded_file[1])"
df = decoded_file[2]
l = @layout [a b; c d]
p = plot(df."timestamp", df."heart_rate"; title="Heart Rate", ylabel="BPM", xticks=nothing)
p2 = plot(df.timestamp, df.altitude; title="Altitude", xticks=nothing)
p3 = scatter(df.timestamp, df.cadence, title="Cadence", xticks=nothing)
p4 = plot(df.timestamp, df.speed; title="Speed", xticks=nothing)
plot(p, p2, p3, p4, layout = l)
end
end
# ╔═╡ 2f4cdc08-27a1-4e92-8709-8021cae771c6
graph_run(decoded_files[14])
# ╔═╡ a9d1b364-65d5-44bc-965f-61a5f2b47a36
md"""
## Graphing Runs
- Show speed, cadence, heartrate, and altitude
- Trail runs appear to have varied cadence, road runs are more stable
"""
# ╔═╡ 0c5d6cdb-7255-4712-92bc-eb3f3182d7eb
graph_run(decoded_files[19])
# ╔═╡ e4461dae-f648-4c34-a963-17dfb3f0220a
md"""
## Trends across Training
- What was my average heartrate for each run?
- Was my average heartrate effected by sleep?
"""
# ╔═╡ d1588e94-a450-4d8c-9811-69873deed252
begin
function calc_avgs(data::Union{Nothing, Tuple{DateTime, DataFrame}})
if isnothing(data)
return nothing
end
try
return (timestamp=data[1], mean_hr=mean(data[2].heart_rate), mean_cadence=mean(data[2].cadence), mean_alt=mean(data[2].altitude))
catch
return nothing
end
end
avg_heartrates = DataFrame(filter(f -> !isnothing(f), calc_avgs.(decoded_files)))
ps = scatter(avg_heartrates.timestamp, avg_heartrates.mean_hr, title="Avg Heartrate over Time", label="hr", xlabel="Timestamp", ylabel="Beats per minute", ylims=(115, 160))
hspan!(ps, [145, maximum(avg_heartrates.mean_hr)]; color=:red, alpha=0.2, label="endurance run")
hspan!(ps, [minimum(avg_heartrates.mean_hr), 145]; color=:green, alpha=0.2, label="recovery run")
end
# ╔═╡ 0b6bce6e-22e5-4a8d-95f4-4708deb07cdd
md"""
## Determining if Heartrate was affected by sleep
- Will need to use the workouts to determine which days were endurance runs
- Find sleep data for same day
- Stitch together to see results
"""
# ╔═╡ 4561f42b-2658-4c74-b642-6b2f92cd3598
begin
# Copy the existing dataframe.
hr_sleep_df = deepcopy(avg_heartrates)
# Get the days that we have an endurance run
my_endurance_days = workouts[:, :WorkoutDay]
my_endurance_selector = [d in my_endurance_days for d in Date.(hr_sleep_df.timestamp)]
my_endurance_days_df = hr_sleep_df[my_endurance_selector, :]
my_endurance_days_df.Date = Date.(my_endurance_days_df.timestamp)
# sleep_hours = metrics[metrics.Type .== "Sleep Hours", [:Value, :ParsedTimestamp]]
sleep_on_endurance_days = [d in my_endurance_days for d in Date.(sleep_hours.ParsedTimestamp)]
sleep_on_endurance_days_df = sleep_hours[sleep_on_endurance_days, :]
sleep_on_endurance_days_df.Date = Date.(sleep_on_endurance_days_df.ParsedTimestamp)
sleep_hr_df = leftjoin(my_endurance_days_df, sleep_on_endurance_days_df; on = :Date)
ns = scatter(sleep_hr_df.mean_hr, sleep_hr_df.Value; xlims=(120, 160), title="Heartrate over Sleep", xlabel="BPM", ylabel="Hours Slept")
vspan!(ns, [140, maximum(sleep_hr_df.mean_hr)]; color=:red, alpha=0.2, label="endurance run")
vspan!(ns, [minimum(sleep_hr_df.mean_hr), 140]; color=:green, alpha=0.2, label="recovery run")
end
# ╔═╡ 27a59d46-f838-4d8f-9c66-a7edc1eea8dd
md"""
## Findings
- No discernible relationship
- Appears to have clusters, left half is recovery, right half is endurance
## Next Question
- Does Cadence Affect HR?
"""
# ╔═╡ 504ed9c8-ff54-4a25-84b9-d832fc435486
begin
cadence_hr_df = deepcopy(avg_heartrates)
# cadence_hr_df.Date = Date.(cadence_hr_df.timestamp)
scatter(cadence_hr_df.mean_hr, cadence_hr_df.mean_cadence; xlabel="HR", ylabel="Cadence", title="HR vs. Cadence")
end
# ╔═╡ 873bcfa3-a989-426a-8402-6b81a8bbb46a
md"""
## Findings
- No relationship, because I always ran with the same cadence!
## Next Question
- Does altitude affect HR?
"""
# ╔═╡ b10b4931-e60f-4791-8dae-d6d58cd71e66
begin
altitude_hr_df = deepcopy(avg_heartrates)
scatter(altitude_hr_df.mean_hr, altitude_hr_df.mean_alt; xlabel="HR", ylabel="Mean Altitude", title="HR vs. Altitude")
end
# ╔═╡ b14e7de2-b91f-40d9-8aa8-237d82f25286
md"""
# Findings
- Altitude does appear to affect heart rate.
- Majority of runs were not at altitude, show normal distribution
- Runs at higher altitudes appear to cluster at higher HR
# Next Questions
- Do my data follow the normal distribution?
"""
# ╔═╡ 1fd645ee-0680-4de8-b1eb-1c94c2069ae9
begin
d = fit(UnitRangeTransform, avg_heartrates.mean_hr)
hr_normalized = StatsBase.transform(d, avg_heartrates.mean_hr)
avg_heartrates.hr_normalized = hr_normalized
@df avg_heartrates histogram(:mean_hr; bins=25, title="HR Histogram")
end
# ╔═╡ c3286275-3cff-4771-9ae6-78a960ba0484
md"""
## Findings
- Kind of normally distributed, but have two clusters
- Recovery vs. Endurance again!
"""
# ╔═╡ 00000000-0000-0000-0000-000000000001 # ╔═╡ 00000000-0000-0000-0000-000000000001
PLUTO_PROJECT_TOML_CONTENTS = """ PLUTO_PROJECT_TOML_CONTENTS = """
[deps] [deps]
@ -198,6 +384,8 @@ Dates = "ade2ca70-3891-5945-98fb-dc099432e06a"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80" Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
PyCall = "438e738f-606a-5dbb-bf0a-cddfbfd45ab0" PyCall = "438e738f-606a-5dbb-bf0a-cddfbfd45ab0"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2" Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
StatsPlots = "f3b207a7-027a-5e70-b257-86293d7955fd"
[compat] [compat]
CSV = "~0.10.9" CSV = "~0.10.9"
@ -205,6 +393,8 @@ Conda = "~1.8.0"
DataFrames = "~1.5.0" DataFrames = "~1.5.0"
Plots = "~1.38.10" Plots = "~1.38.10"
PyCall = "~1.95.1" PyCall = "~1.95.1"
StatsBase = "~0.33.21"
StatsPlots = "~0.15.4"
""" """
# ╔═╡ 00000000-0000-0000-0000-000000000002 # ╔═╡ 00000000-0000-0000-0000-000000000002
@ -213,15 +403,45 @@ PLUTO_MANIFEST_TOML_CONTENTS = """
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@ -345,6 +577,12 @@ git-tree-sha1 = "bfc1187b79289637fa0ef6d4436ebdfe6905cbd6"
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@ -353,6 +591,28 @@ uuid = "ade2ca70-3891-5945-98fb-dc099432e06a"
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@ -364,6 +624,12 @@ deps = ["ArgTools", "FileWatching", "LibCURL", "NetworkOptions"]
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@ -391,6 +669,12 @@ version = "0.9.20"
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deps = ["Adapt", "AxisAlgorithms", "ChainRulesCore", "LinearAlgebra", "OffsetArrays", "Random", "Ratios", "Requires", "SharedArrays", "SparseArrays", "StaticArrays", "WoodburyMatrices"]
git-tree-sha1 = "721ec2cf720536ad005cb38f50dbba7b02419a15"
uuid = "a98d9a8b-a2ab-59e6-89dd-64a1c18fca59"
version = "0.14.7"
[[deps.InverseFunctions]] [[deps.InverseFunctions]]
deps = ["Test"] deps = ["Test"]
git-tree-sha1 = "6667aadd1cdee2c6cd068128b3d226ebc4fb0c67" git-tree-sha1 = "6667aadd1cdee2c6cd068128b3d226ebc4fb0c67"
@ -533,6 +835,12 @@ git-tree-sha1 = "6f2675ef130a300a112286de91973805fcc5ffbc"
uuid = "aacddb02-875f-59d6-b918-886e6ef4fbf8" uuid = "aacddb02-875f-59d6-b918-886e6ef4fbf8"
version = "2.1.91+0" version = "2.1.91+0"
[[deps.KernelDensity]]
deps = ["Distributions", "DocStringExtensions", "FFTW", "Interpolations", "StatsBase"]
git-tree-sha1 = "4a9513ad756e712177bd342ba6c022b515ed8d76"
uuid = "5ab0869b-81aa-558d-bb23-cbf5423bbe9b"
version = "0.6.6"
[[deps.LAME_jll]] [[deps.LAME_jll]]
deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
git-tree-sha1 = "f6250b16881adf048549549fba48b1161acdac8c" git-tree-sha1 = "f6250b16881adf048549549fba48b1161acdac8c"
@ -562,6 +870,10 @@ git-tree-sha1 = "8c57307b5d9bb3be1ff2da469063628631d4d51e"
uuid = "23fbe1c1-3f47-55db-b15f-69d7ec21a316" uuid = "23fbe1c1-3f47-55db-b15f-69d7ec21a316"
version = "0.15.21" version = "0.15.21"
[[deps.LazyArtifacts]]
deps = ["Artifacts", "Pkg"]
uuid = "4af54fe1-eca0-43a8-85a7-787d91b784e3"
[[deps.LibCURL]] [[deps.LibCURL]]
deps = ["LibCURL_jll", "MozillaCACerts_jll"] deps = ["LibCURL_jll", "MozillaCACerts_jll"]
uuid = "b27032c2-a3e7-50c8-80cd-2d36dbcbfd21" uuid = "b27032c2-a3e7-50c8-80cd-2d36dbcbfd21"
@ -651,6 +963,12 @@ git-tree-sha1 = "cedb76b37bc5a6c702ade66be44f831fa23c681e"
uuid = "e6f89c97-d47a-5376-807f-9c37f3926c36" uuid = "e6f89c97-d47a-5376-807f-9c37f3926c36"
version = "1.0.0" version = "1.0.0"
[[deps.MKL_jll]]
deps = ["Artifacts", "IntelOpenMP_jll", "JLLWrappers", "LazyArtifacts", "Libdl", "Pkg"]
git-tree-sha1 = "2ce8695e1e699b68702c03402672a69f54b8aca9"
uuid = "856f044c-d86e-5d09-b602-aeab76dc8ba7"
version = "2022.2.0+0"
[[deps.MacroTools]] [[deps.MacroTools]]
deps = ["Markdown", "Random"] deps = ["Markdown", "Random"]
git-tree-sha1 = "42324d08725e200c23d4dfb549e0d5d89dede2d2" git-tree-sha1 = "42324d08725e200c23d4dfb549e0d5d89dede2d2"
@ -690,16 +1008,39 @@ uuid = "a63ad114-7e13-5084-954f-fe012c677804"
uuid = "14a3606d-f60d-562e-9121-12d972cd8159" uuid = "14a3606d-f60d-562e-9121-12d972cd8159"
version = "2022.2.1" version = "2022.2.1"
[[deps.MultivariateStats]]
deps = ["Arpack", "LinearAlgebra", "SparseArrays", "Statistics", "StatsAPI", "StatsBase"]
git-tree-sha1 = "91a48569383df24f0fd2baf789df2aade3d0ad80"
uuid = "6f286f6a-111f-5878-ab1e-185364afe411"
version = "0.10.1"
[[deps.NaNMath]] [[deps.NaNMath]]
deps = ["OpenLibm_jll"] deps = ["OpenLibm_jll"]
git-tree-sha1 = "0877504529a3e5c3343c6f8b4c0381e57e4387e4" git-tree-sha1 = "0877504529a3e5c3343c6f8b4c0381e57e4387e4"
uuid = "77ba4419-2d1f-58cd-9bb1-8ffee604a2e3" uuid = "77ba4419-2d1f-58cd-9bb1-8ffee604a2e3"
version = "1.0.2" version = "1.0.2"
[[deps.NearestNeighbors]]
deps = ["Distances", "StaticArrays"]
git-tree-sha1 = "2c3726ceb3388917602169bed973dbc97f1b51a8"
uuid = "b8a86587-4115-5ab1-83bc-aa920d37bbce"
version = "0.4.13"
[[deps.NetworkOptions]] [[deps.NetworkOptions]]
uuid = "ca575930-c2e3-43a9-ace4-1e988b2c1908" uuid = "ca575930-c2e3-43a9-ace4-1e988b2c1908"
version = "1.2.0" version = "1.2.0"
[[deps.Observables]]
git-tree-sha1 = "6862738f9796b3edc1c09d0890afce4eca9e7e93"
uuid = "510215fc-4207-5dde-b226-833fc4488ee2"
version = "0.5.4"
[[deps.OffsetArrays]]
deps = ["Adapt"]
git-tree-sha1 = "82d7c9e310fe55aa54996e6f7f94674e2a38fcb4"
uuid = "6fe1bfb0-de20-5000-8ca7-80f57d26f881"
version = "1.12.9"
[[deps.Ogg_jll]] [[deps.Ogg_jll]]
deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"] deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
git-tree-sha1 = "887579a3eb005446d514ab7aeac5d1d027658b8f" git-tree-sha1 = "887579a3eb005446d514ab7aeac5d1d027658b8f"
@ -750,6 +1091,12 @@ deps = ["Artifacts", "Libdl"]
uuid = "efcefdf7-47ab-520b-bdef-62a2eaa19f15" uuid = "efcefdf7-47ab-520b-bdef-62a2eaa19f15"
version = "10.40.0+0" version = "10.40.0+0"
[[deps.PDMats]]
deps = ["LinearAlgebra", "SparseArrays", "SuiteSparse"]
git-tree-sha1 = "67eae2738d63117a196f497d7db789821bce61d1"
uuid = "90014a1f-27ba-587c-ab20-58faa44d9150"
version = "0.11.17"
[[deps.Parsers]] [[deps.Parsers]]
deps = ["Dates", "SnoopPrecompile"] deps = ["Dates", "SnoopPrecompile"]
git-tree-sha1 = "478ac6c952fddd4399e71d4779797c538d0ff2bf" git-tree-sha1 = "478ac6c952fddd4399e71d4779797c538d0ff2bf"
@ -830,6 +1177,12 @@ git-tree-sha1 = "0c03844e2231e12fda4d0086fd7cbe4098ee8dc5"
uuid = "ea2cea3b-5b76-57ae-a6ef-0a8af62496e1" uuid = "ea2cea3b-5b76-57ae-a6ef-0a8af62496e1"
version = "5.15.3+2" version = "5.15.3+2"
[[deps.QuadGK]]
deps = ["DataStructures", "LinearAlgebra"]
git-tree-sha1 = "6ec7ac8412e83d57e313393220879ede1740f9ee"
uuid = "1fd47b50-473d-5c70-9696-f719f8f3bcdc"
version = "2.8.2"
[[deps.REPL]] [[deps.REPL]]
deps = ["InteractiveUtils", "Markdown", "Sockets", "Unicode"] deps = ["InteractiveUtils", "Markdown", "Sockets", "Unicode"]
uuid = "3fa0cd96-eef1-5676-8a61-b3b8758bbffb" uuid = "3fa0cd96-eef1-5676-8a61-b3b8758bbffb"
@ -838,6 +1191,12 @@ uuid = "3fa0cd96-eef1-5676-8a61-b3b8758bbffb"
deps = ["SHA", "Serialization"] deps = ["SHA", "Serialization"]
uuid = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c" uuid = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
[[deps.Ratios]]
deps = ["Requires"]
git-tree-sha1 = "6d7bb727e76147ba18eed998700998e17b8e4911"
uuid = "c84ed2f1-dad5-54f0-aa8e-dbefe2724439"
version = "0.4.4"
[[deps.RecipesBase]] [[deps.RecipesBase]]
deps = ["PrecompileTools"] deps = ["PrecompileTools"]
git-tree-sha1 = "5c3d09cc4f31f5fc6af001c250bf1278733100ff" git-tree-sha1 = "5c3d09cc4f31f5fc6af001c250bf1278733100ff"
@ -867,6 +1226,18 @@ git-tree-sha1 = "838a3a4188e2ded87a4f9f184b4b0d78a1e91cb7"
uuid = "ae029012-a4dd-5104-9daa-d747884805df" uuid = "ae029012-a4dd-5104-9daa-d747884805df"
version = "1.3.0" version = "1.3.0"
[[deps.Rmath]]
deps = ["Random", "Rmath_jll"]
git-tree-sha1 = "f65dcb5fa46aee0cf9ed6274ccbd597adc49aa7b"
uuid = "79098fc4-a85e-5d69-aa6a-4863f24498fa"
version = "0.7.1"
[[deps.Rmath_jll]]
deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
git-tree-sha1 = "6ed52fdd3382cf21947b15e8870ac0ddbff736da"
uuid = "f50d1b31-88e8-58de-be2c-1cc44531875f"
version = "0.4.0+0"
[[deps.SHA]] [[deps.SHA]]
uuid = "ea8e919c-243c-51af-8825-aaa63cd721ce" uuid = "ea8e919c-243c-51af-8825-aaa63cd721ce"
version = "0.7.0" version = "0.7.0"
@ -886,6 +1257,10 @@ version = "1.3.18"
[[deps.Serialization]] [[deps.Serialization]]
uuid = "9e88b42a-f829-5b0c-bbe9-9e923198166b" uuid = "9e88b42a-f829-5b0c-bbe9-9e923198166b"
[[deps.SharedArrays]]
deps = ["Distributed", "Mmap", "Random", "Serialization"]
uuid = "1a1011a3-84de-559e-8e89-a11a2f7dc383"
[[deps.Showoff]] [[deps.Showoff]]
deps = ["Dates", "Grisu"] deps = ["Dates", "Grisu"]
git-tree-sha1 = "91eddf657aca81df9ae6ceb20b959ae5653ad1de" git-tree-sha1 = "91eddf657aca81df9ae6ceb20b959ae5653ad1de"
@ -922,6 +1297,17 @@ git-tree-sha1 = "ef28127915f4229c971eb43f3fc075dd3fe91880"
uuid = "276daf66-3868-5448-9aa4-cd146d93841b" uuid = "276daf66-3868-5448-9aa4-cd146d93841b"
version = "2.2.0" version = "2.2.0"
[[deps.StaticArrays]]
deps = ["LinearAlgebra", "Random", "StaticArraysCore", "Statistics"]
git-tree-sha1 = "c262c8e978048c2b095be1672c9bee55b4619521"
uuid = "90137ffa-7385-5640-81b9-e52037218182"
version = "1.5.24"
[[deps.StaticArraysCore]]
git-tree-sha1 = "6b7ba252635a5eff6a0b0664a41ee140a1c9e72a"
uuid = "1e83bf80-4336-4d27-bf5d-d5a4f845583c"
version = "1.4.0"
[[deps.Statistics]] [[deps.Statistics]]
deps = ["LinearAlgebra", "SparseArrays"] deps = ["LinearAlgebra", "SparseArrays"]
uuid = "10745b16-79ce-11e8-11f9-7d13ad32a3b2" uuid = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
@ -938,16 +1324,38 @@ git-tree-sha1 = "d1bf48bfcc554a3761a133fe3a9bb01488e06916"
uuid = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91" uuid = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
version = "0.33.21" version = "0.33.21"
[[deps.StatsFuns]]
deps = ["ChainRulesCore", "HypergeometricFunctions", "InverseFunctions", "IrrationalConstants", "LogExpFunctions", "Reexport", "Rmath", "SpecialFunctions"]
git-tree-sha1 = "f625d686d5a88bcd2b15cd81f18f98186fdc0c9a"
uuid = "4c63d2b9-4356-54db-8cca-17b64c39e42c"
version = "1.3.0"
[[deps.StatsPlots]]
deps = ["AbstractFFTs", "Clustering", "DataStructures", "DataValues", "Distributions", "Interpolations", "KernelDensity", "LinearAlgebra", "MultivariateStats", "NaNMath", "Observables", "Plots", "RecipesBase", "RecipesPipeline", "Reexport", "StatsBase", "TableOperations", "Tables", "Widgets"]
git-tree-sha1 = "e0d5bc26226ab1b7648278169858adcfbd861780"
uuid = "f3b207a7-027a-5e70-b257-86293d7955fd"
version = "0.15.4"
[[deps.StringManipulation]] [[deps.StringManipulation]]
git-tree-sha1 = "46da2434b41f41ac3594ee9816ce5541c6096123" git-tree-sha1 = "46da2434b41f41ac3594ee9816ce5541c6096123"
uuid = "892a3eda-7b42-436c-8928-eab12a02cf0e" uuid = "892a3eda-7b42-436c-8928-eab12a02cf0e"
version = "0.3.0" version = "0.3.0"
[[deps.SuiteSparse]]
deps = ["Libdl", "LinearAlgebra", "Serialization", "SparseArrays"]
uuid = "4607b0f0-06f3-5cda-b6b1-a6196a1729e9"
[[deps.TOML]] [[deps.TOML]]
deps = ["Dates"] deps = ["Dates"]
uuid = "fa267f1f-6049-4f14-aa54-33bafae1ed76" uuid = "fa267f1f-6049-4f14-aa54-33bafae1ed76"
version = "1.0.0" version = "1.0.0"
[[deps.TableOperations]]
deps = ["SentinelArrays", "Tables", "Test"]
git-tree-sha1 = "e383c87cf2a1dc41fa30c093b2a19877c83e1bc1"
uuid = "ab02a1b2-a7df-11e8-156e-fb1833f50b87"
version = "1.2.0"
[[deps.TableTraits]] [[deps.TableTraits]]
deps = ["IteratorInterfaceExtensions"] deps = ["IteratorInterfaceExtensions"]
git-tree-sha1 = "c06b2f539df1c6efa794486abfb6ed2022561a39" git-tree-sha1 = "c06b2f539df1c6efa794486abfb6ed2022561a39"
@ -1027,6 +1435,18 @@ git-tree-sha1 = "b1be2855ed9ed8eac54e5caff2afcdb442d52c23"
uuid = "ea10d353-3f73-51f8-a26c-33c1cb351aa5" uuid = "ea10d353-3f73-51f8-a26c-33c1cb351aa5"
version = "1.4.2" version = "1.4.2"
[[deps.Widgets]]
deps = ["Colors", "Dates", "Observables", "OrderedCollections"]
git-tree-sha1 = "fcdae142c1cfc7d89de2d11e08721d0f2f86c98a"
uuid = "cc8bc4a8-27d6-5769-a93b-9d913e69aa62"
version = "0.6.6"
[[deps.WoodburyMatrices]]
deps = ["LinearAlgebra", "SparseArrays"]
git-tree-sha1 = "de67fa59e33ad156a590055375a30b23c40299d3"
uuid = "efce3f68-66dc-5838-9240-27a6d6f5f9b6"
version = "0.5.5"
[[deps.WorkerUtilities]] [[deps.WorkerUtilities]]
git-tree-sha1 = "cd1659ba0d57b71a464a29e64dbc67cfe83d54e7" git-tree-sha1 = "cd1659ba0d57b71a464a29e64dbc67cfe83d54e7"
uuid = "76eceee3-57b5-4d4a-8e66-0e911cebbf60" uuid = "76eceee3-57b5-4d4a-8e66-0e911cebbf60"
@ -1268,5 +1688,22 @@ version = "1.4.1+0"
# ╠═7cb0daaf-6701-48c8-88ee-49a78d46d0a8 # ╠═7cb0daaf-6701-48c8-88ee-49a78d46d0a8
# ╠═065c7811-0203-44fd-bb88-49946d674fd8 # ╠═065c7811-0203-44fd-bb88-49946d674fd8
# ╠═39a46471-663e-4395-b4bd-2380932d7189 # ╠═39a46471-663e-4395-b4bd-2380932d7189
# ╠═ed9e2e1f-cebe-4a0b-969a-93d344578a28
# ╠═b7854b76-eb0e-4d78-9bd6-9b0258a725ba
# ╠═3e1d6c7b-41b5-435a-88f0-b0f3ab442662
# ╠═2f4cdc08-27a1-4e92-8709-8021cae771c6
# ╠═a9d1b364-65d5-44bc-965f-61a5f2b47a36
# ╠═0c5d6cdb-7255-4712-92bc-eb3f3182d7eb
# ╠═e4461dae-f648-4c34-a963-17dfb3f0220a
# ╠═d1588e94-a450-4d8c-9811-69873deed252
# ╠═0b6bce6e-22e5-4a8d-95f4-4708deb07cdd
# ╠═4561f42b-2658-4c74-b642-6b2f92cd3598
# ╠═27a59d46-f838-4d8f-9c66-a7edc1eea8dd
# ╠═504ed9c8-ff54-4a25-84b9-d832fc435486
# ╠═873bcfa3-a989-426a-8402-6b81a8bbb46a
# ╠═b10b4931-e60f-4791-8dae-d6d58cd71e66
# ╠═b14e7de2-b91f-40d9-8aa8-237d82f25286
# ╠═1fd645ee-0680-4de8-b1eb-1c94c2069ae9
# ╠═c3286275-3cff-4771-9ae6-78a960ba0484
# ╟─00000000-0000-0000-0000-000000000001 # ╟─00000000-0000-0000-0000-000000000001
# ╟─00000000-0000-0000-0000-000000000002 # ╟─00000000-0000-0000-0000-000000000002