Project.toml

name = "Covid19Survey"
uuid = "7a6362e4-e35b-4aad-afd8-8fbbad4cfd7a"
# uuid = "5b23b7a7-3bce-4960-90e0-127a46c54517"
authors = ["Andreas Koher"]
version = "0.1.0"

[deps]
ArgParse = "c7e460c6-2fb9-53a9-8c5b-16f535851c63"
BSON = "fbb218c0-5317-5bc6-957e-2ee96dd4b1f0"
CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
CSVFiles = "5d742f6a-9f54-50ce-8119-2520741973ca"
ColorSchemes = "35d6a980-a343-548e-a6ea-1d62b119f2f4"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
Dates = "ade2ca70-3891-5945-98fb-dc099432e06a"
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
DrWatson = "634d3b9d-ee7a-5ddf-bec9-22491ea816e1"
HTTP = "cd3eb016-35fb-5094-929b-558a96fad6f3"
InlineStrings = "842dd82b-1e85-43dc-bf29-5d0ee9dffc48"
JSON = "682c06a0-de6a-54ab-a142-c8b1cf79cde6"
Memoization = "6fafb56a-5788-4b4e-91ca-c0cea6611c73"
OrderedCollections = "bac558e1-5e72-5ebc-8fee-abe8a469f55d"
PGFPlotsX = "8314cec4-20b6-5062-9cdb-752b83310925"
Pandas = "eadc2687-ae89-51f9-a5d9-86b5a6373a9c"
PlotlyJS = "f0f68f2c-4968-5e81-91da-67840de0976a"
PooledArrays = "2dfb63ee-cc39-5dd5-95bd-886bf059d720"
PrettyTables = "08abe8d2-0d0c-5749-adfa-8a2ac140af0d"
PyCall = "438e738f-606a-5dbb-bf0a-cddfbfd45ab0"
PyPlot = "d330b81b-6aea-500a-939a-2ce795aea3ee"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
ReverseDiff = "37e2e3b7-166d-5795-8a7a-e32c996b4267"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
StatsPlots = "f3b207a7-027a-5e70-b257-86293d7955fd"
Turing = "fce5fe82-541a-59a6-adf8-730c64b5f9a0"
Underscores = "d9a01c3f-67ce-4d8c-9b55-35f6e4050bb1"
WeakRefStrings = "ea10d353-3f73-51f8-a26c-33c1cb351aa5"

[compat]
julia = "1.6.1"

[extras]
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"

[targets]
test = ["Test"]