Skip to main content

This project will compare amusement park sales with Internet industry sales and the number of people infected with COVID.

Project description

Relationship between coronavirus and Japanese industry

This project will compare amusement park sales with Internet industry sales and the number of people infected with COVID.

This is a line chart that uses new_confirmed_cases_daily.xlsx, park_sales.xlsx, and internet_service.xlsx. The new_confirmed_cases_daily.xlsx, the park_sales.xlsx, the and internet_service.xlsx is downloadable from:

https://github.com/ritakei/industryandcovid/blob/main/newly_confirmed_cases_daily.xlsx https://github.com/ritakei/industryandcovid/blob/main/internet_service_sales.xlsx https://github.com/ritakei/VisitorsandCOVID/blob/main/park_sales.xlsx

The vertical axis is an integer and log display.

How to install Visitors-and-Corona-Virus-Infected

You may need some libraries.

$ pip install matplotlib

$ pip install pandas

$ pip install openpyxl

How to run Visitors-and-Corona-Virus-Infected

The VandC program allows you to plot the number of visitors to amusement parks in Japan and the number of people infected with COVID from January 2020 to April 2022.

$ pip install industryandcovid

$ industryandcovid

The following command can display a VisitorsandCOVID line graph with. There are no options.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

industryandcovid-0.0.5.tar.gz (4.1 kB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

industryandcovid-0.0.5-py3.10.egg (1.8 kB view details)

Uploaded Egg

industryandcovid-0.0.5-py3-none-any.whl (2.9 kB view details)

Uploaded Python 3

File details

Details for the file industryandcovid-0.0.5.tar.gz.

File metadata

  • Download URL: industryandcovid-0.0.5.tar.gz
  • Upload date:
  • Size: 4.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.4

File hashes

Hashes for industryandcovid-0.0.5.tar.gz
Algorithm Hash digest
SHA256 7cb976fd0de6724813831d328e8316918672770cc15f86ba556efb915d1f8ed7
MD5 970162aa2f1ea6fc0938c956ed09d4ac
BLAKE2b-256 a7d6b0fe20490830f009164626eaa62821b7de2de12a428f1c45f34ded7133ab

See more details on using hashes here.

File details

Details for the file industryandcovid-0.0.5-py3.10.egg.

File metadata

  • Download URL: industryandcovid-0.0.5-py3.10.egg
  • Upload date:
  • Size: 1.8 kB
  • Tags: Egg
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.4

File hashes

Hashes for industryandcovid-0.0.5-py3.10.egg
Algorithm Hash digest
SHA256 2ac8328bb07c53d81dccb7bc764fcde00b2414b384c61d3fe9fb3ff306f0798f
MD5 1cdb5109f39555a9ae9abdd455a27d3e
BLAKE2b-256 a6de009793c1964d546648ee62d4e732f932a69872fce4b2ed3a416661eb0946

See more details on using hashes here.

File details

Details for the file industryandcovid-0.0.5-py3-none-any.whl.

File metadata

File hashes

Hashes for industryandcovid-0.0.5-py3-none-any.whl
Algorithm Hash digest
SHA256 8a3efa1b7bebf4cabdb01fc483a134987b9c807383497dac5b17213b6414d1ab
MD5 eb3c8407042548be664f4bafadf0b6a1
BLAKE2b-256 0da6d8e88bfba7fc4cfccf240af636e8a48f1079b9645abe2199ff40b6b714f7

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page