Project.toml

name = "PharmacyEntry"
uuid = "0e3b0b00-0160-11e9-1a26-29769e7c45d2"
authors = ["Paul Schrimpf "]
version = "0.1.0"

[deps]
ArchGDAL = "c9ce4bd3-c3d5-55b8-8973-c0e20141b8c3"
CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
Cascadia = "54eefc05-d75b-58de-a785-1a3403f0919f"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
DataStructures = "864edb3b-99cc-5e75-8d2d-829cb0a9cfe8"
Distances = "b4f34e82-e78d-54a5-968a-f98e89d6e8f7"
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
FreqTables = "da1fdf0e-e0ff-5433-a45f-9bb5ff651cb1"
Geodesy = "0ef565a4-170c-5f04-8de2-149903a85f3d"
Gumbo = "708ec375-b3d6-5a57-a7ce-8257bf98657a"
HTTP = "cd3eb016-35fb-5094-929b-558a96fad6f3"
LightXML = "9c8b4983-aa76-5018-a973-4c85ecc9e179"
Optim = "429524aa-4258-5aef-a3af-852621145aeb"
PlotlyJS = "f0f68f2c-4968-5e81-91da-67840de0976a"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
PrettyTables = "08abe8d2-0d0c-5749-adfa-8a2ac140af0d"
PyCall = "438e738f-606a-5dbb-bf0a-cddfbfd45ab0"
Revise = "295af30f-e4ad-537b-8983-00126c2a3abe"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
StatsPlots = "f3b207a7-027a-5e70-b257-86293d7955fd"
VegaLite = "112f6efa-9a02-5b7d-90c0-432ed331239a"