https://github.com/sksubhadeep/nobel_winners_using_powerbi

https://github.com/sksubhadeep/nobel_winners_using_powerbi

microsoft-power-bi microsoft-sql-server sql sql-server-management-studio

Last synced: 7 months ago
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• Host: GitHub
• URL: https://github.com/sksubhadeep/nobel_winners_using_powerbi
• Owner: sksubhadeep
• Created: 2023-08-19T04:28:34.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2023-09-23T16:54:36.000Z (almost 3 years ago)
• Last Synced: 2025-01-22T04:33:12.771Z (over 1 year ago)
• Topics: microsoft-power-bi, microsoft-sql-server, sql, sql-server-management-studio
• Homepage:
• Size: 2.24 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
I have performed a series of data cleaning and analysis steps on the Nobel_Awardees data using Microsoft SQL Management Studio. Here's a structured summary of my tasks: 

### Data Cleaning Steps: 

1. **Date Format Change:**

   - The date formats of "Born" and "Died" columns were converted from YYYY-MM-DD to YYYY.

2. **Life Expectancy Column Creation:**

   - Life expectancy was calculated based on the "Born" and "Died" years, and the results were added as a new column.

3. **First and Last Names Combination:**

   - The "First Name" and "Last Name" columns were concatenated to create a new "Name" column.

4. **Country and City Name Updates:**

   - Old country and city names were replaced with recent names to maintain accuracy.

5. **Gender Format Standardization:**

   - Gender values were transformed to "M" for male and "F" for female.

6. **Unused Column Deletion:**

   - Unnecessary columns that were no longer needed after cleaning and analysis were removed.

### Data Analysis Steps:

1. **Nobel Winners Count by Category:**

   - The data was grouped by "Category" and the number of Nobel Prize winners in each category was counted.

2. **Nobel Prize Count Listing by Year:**

   - The year with the highest number of Nobel Prize awards was identified.

   - The count of Nobel Prizes awarded in each category for that year was listed.

3. **Selection of Male Physics Awardees from USA before WW2:**

   - Data for male Nobel Prize awardees in the "Physics" category from the USA was retrieved.

   - The results were filtered to include only awardees who received their awards before World War 2.

  

   

### Data Export Steps:

1. **Cleaned Data Export Using bcp:**

   - The Command Prompt was opened.

   - The `bcp` utility was used to export the cleaned data from the specified database, schema, and table to a designated file.

     

   - The syntax is as follows:

   - Syntax: 

     ```

     bcp .. out  -S -c -t"," -T

     ```

     - ``: Name of the database containing the cleaned data.

     - ``: Name of the schema containing the cleaned data.

     - ``: Name of the table containing the cleaned data.

     - ``: Path to the destination file where the cleaned data will be saved.

     - `-S`: The server instance where the database is hosted.

     - `-c`: Specifies character data format.

     - `-t","`: Specifies the field terminator as a comma.

     - `-T`: Uses Windows authentication for the connection. 

Upon completion of these steps, the cleaned and analyzed data will be saved in the specified file destination.

### Data Visualization Steps: