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-0.0.3.tar.gz (2.7 kB view details)

Uploaded Source

Built Distributions

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

industryandcovid-0.0.3-py3.10.egg (1.8 kB view details)

Uploaded Egg

industryandcovid-0.0.3-py3-none-any.whl (2.9 kB view details)

Uploaded Python 3

File details

Details for the file industryandcovid-0.0.3.tar.gz.

File metadata

  • Download URL: industryandcovid-0.0.3.tar.gz
  • Upload date:
  • Size: 2.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.4

File hashes

Hashes for industryandcovid-0.0.3.tar.gz
Algorithm Hash digest
SHA256 accff99cacddc7f225a7a16586bd8b025c413db6334d63a36a55a1c5d79dc200
MD5 766acaca84b1c2b3abfb104877e28336
BLAKE2b-256 d6182efc94f9d9eb54b091221087fbb06df24287e9dbfd6f8d1d2ce5041612c5

See more details on using hashes here.

File details

Details for the file industryandcovid-0.0.3-py3.10.egg.

File metadata

  • Download URL: industryandcovid-0.0.3-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-0.0.3-py3.10.egg
Algorithm Hash digest
SHA256 2d50bbc6e7315c5a92b8c19d2d17957821504efbcd3bd527f5cf43b34c5a81d0
MD5 80b6496be0fa608026918e876e2c7e8c
BLAKE2b-256 e35870ac513d1fef9eab4e14b78c25c6830bc5d640fb4342e97dbd8ee99cbb87

See more details on using hashes here.

File details

Details for the file industryandcovid-0.0.3-py3-none-any.whl.

File metadata

File hashes

Hashes for industryandcovid-0.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 4a463579e935c5ba2989828c8a43b42a093c4a7d65ee9c6e37b8552877667cbe
MD5 d091aa34dd0859ddb88ac68d51112154
BLAKE2b-256 49a4ed060322289551fa09ed6d84b2a9d14b195a2921017cb2b42e7ad5ab7b4f

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