GISデータを用いて不動産定価モデル
Please prepare these environment variables before starting:
# Change to the DB URI you're using
# You can use docker-compose up to start one if you don't have it.
MONGO_URI=mongodb:https://admin:[email protected]:27017/
MONGO_DB_NAME=domus
# Leave them empty or xxxx if you don't need it
google_api_key=xxxx
REINFOLIB_API_KEY=xxxxPlease also prepare a .env.local for loading it from Jupyter Notebook.
Also, we're using poetry for env management, please run poetry install to install dependencies.
domus-analytica suumo --detailed \
--search-url "https://suumo.jp/jj/bukken/ichiran/JJ010FJ001/?ar=090&bs=011&ta=40&jspIdFlg=patternShikugun&sc=40131&sc=40132&sc=40133&sc=40134&sc=40135&sc=40136&sc=40137&kb=500&kt=8000&mb=40&mt=9999999&md=2&md=3&md=4&ekTjCd=&ekTjNm=&tj=0&cnb=0&cn=25&srch_navi=1"About the search URL, please search on SUUMO and copy the link.
Run: domus-analytica import-trading-api
You need to apply for a new API Key: https://www.reinfolib.mlit.go.jp/api/request/
Please download all data from here and decompress: https://nlftp.mlit.go.jp/ksj/gml/datalist/KsjTmplt-P11-2022.html
After downloaded all data, extract them in to on dir and run: domus-analytica gis-import bus-stop --file data/path/dir
Please download all data from here: https://www.e-stat.go.jp/gis/statmap-search?page=1&type=1&toukeiCode=00200521&toukeiYear=2020&aggregateUnit=Q&serveyId=Q002005112020&statsId=T001142&datum=2011
You can extract download link with this script:
console.log(
Array(...document.getElementsByClassName("stat-dl_icon stat-statistics-table_icon"))
.map((x) => x.getAttribute("href"))
.map((s) => `${window.location.origin}${s}`)
.join("\n")
)After downloaded all data, extract them in to on dir and run: domus-analytica gis-import population --file data/path/dir
Please download all data from here and decompress: https://nlftp.mlit.go.jp/ksj/gml/datalist/KsjTmplt-S12-2021.html
After downloaded all data, extract them in to on dir and run: domus-analytica gis-import station-passengers --file data/path/to/geojson/file