https://github.com/lesiaukr/goit-rdb-fp
Master's degree. Relational databases: Final project
https://github.com/lesiaukr/goit-rdb-fp
goit-rdb-fp sql workbench
Last synced: 3 months ago
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Master's degree. Relational databases: Final project
- Host: GitHub
- URL: https://github.com/lesiaukr/goit-rdb-fp
- Owner: LesiaUKR
- Created: 2024-04-16T18:50:31.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-04-21T09:58:46.000Z (over 1 year ago)
- Last Synced: 2025-01-29T23:16:27.538Z (9 months ago)
- Topics: goit-rdb-fp, sql, workbench
- Homepage:
- Size: 2.49 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Final project for the course "relational databases"
## Description of the final project
1. Upload the data:
- Create a schema named pandemic in the database using SQL command.
- Select it as the default schema using SQL command.
- Import the [**data**](https://drive.google.com/file/d/1lHEXJvu2omYRgvSek6mHq-iQ3RmGAQ7e/view) using Import wizard as you have already done in theme 3.
- Review the data to get familiar with it.
> [!NOTE]
> As you can see, the attributes Entity and Code are repeated constantly. Get rid of this using data normalization.
2. Normalize the infectious_cases table. Preserve two tables in the same schema with normalized data.
3. Analyze the data:
- For each unique combination of Entity and Code or their id, calculate the average, minimum, maximum values, and sum for the attribute Number_rabies.
> [!NOTE]
> Consider that the Number_rabies attribute may contain empty values ‘’. You need to filter them out beforehand.
- Sort the result by the calculated average value in descending order.
- Select only 10 rows to display.
4. Build a column for the difference in years.
For the original or normalized table, build a column using built-in SQL functions:
- an attribute that creates the date of January 1st of the corresponding year,
> [!NOTE]
> НFor example, if the attribute contains the value '1996', then the value of the new attribute should be '1996-01-01'.
- an attribute that equals the current date,
- an attribute that equals the difference in years between the two aforementioned columns.
> [!NOTE]
> You don't need to recalculate all other attributes, such as Number_malaria.
5. Build your own function.
- If you did not complete the previous task, you can build another function - a function that calculates the number of diseases for a certain period. To do this, divide the number of diseases per year by a certain number: 12 - to get the average number of diseases per month, 4 - per quarter, or 2 - per half a year. Thus, the function should accept two parameters: the number of diseases per year and an arbitrary divisor. You also need to use it - run it on the data. Since not all rows contain a number of diseases, you will need to filter out those that do not have a numerical value (≠ ‘’).
> [!NOTE]
> If you did not complete the previous task, you can build another function - a function that calculates the number of diseases for a certain period. To do this, divide the number of diseases per year by a certain number: 12 - to get the average number of diseases per month, 4 - per quarter, or 2 - per half a year. Thus, the function should accept two parameters: the number of diseases per year and an arbitrary divisor. You also need to use it - run it on the data. Since not all rows contain a number of diseases, you will need to filter out those that do not have a numerical value (≠ ‘’).