Covid-19 Analysis Program
This project aims to solve the access and interpretation of raw covid-19 data. By
having this information the government can keep track of its progress in fighting
covid-19. Countries can use the information in making decisions to control the virus’s
spread. People can use this information to avoid traveling to countries with high
infection rates.
It’s time consuming looking for data in a CSV file, especially for big data. For
instance, covid-19 world data. The project aims at making it easy for any user to access
the information. The program uses a CSV file and presents the data and information
simply and comprehensively. The user can easily get information about any country by
selecting the desired country in a search bar. After selecting the country’s name, the
user can click on the search button below the list box. After which, the interface is
populated with the country’s information. The information about the chosen country by
the user such as the total cases, total deaths, death percentage, vaccination rate per
country, and ways to help stop the spread of the disease. The program does not allow a
user to make errors as the user uses the options provided to search for information.
How to start the application to perform analysis. Run the program file with your
preferred editor. A Tkinter graphical user interface (GUI) pops up. Select the country
and click the search command button to get the covid-19 information of that country.
Submit button pops up after a successful search and saves the data to a csv file. The
program warns the user of invalid input via a text messagebox. Click the close button to
close the window.
Link to the csv dataset:
https://www.kaggle.com/datasets/rinichristy/covid19-coronavirus-pandemic

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