1. Open your Excel workbook and ensure that the data is clean and well-structured.

2. Make sure that the first row contains column headers, as these will be used as column names in DuckDB.

3. Check for any data inconsistencies, such as non-uniform date formats, and correct them.

1. In Excel, go to the worksheet that contains the data you want to export.

2. Click on 'File' > 'Save As' or press `F12` to open the 'Save As' dialog.

3. Choose the location where you want to save the file.

4. In the 'Save as type' dropdown, select 'CSV (Comma delimited) (*.csv)'.

5. Click 'Save'. If your workbook has multiple sheets, Excel will prompt you that only the active sheet will be saved in the CSV file. Click 'OK' to proceed.

6. If you receive a message about features not being compatible with CSV format, click 'Yes' to keep the workbook in this format.

1. Download DuckDB from the official website (https://duckdb.org/) or install it using a package manager like pip for Python:

   ```

   pip install duckdb

   ```

2. Follow the installation instructions appropriate for your operating system.

1. Open a command-line interface (CLI) or a scripting environment where you can interact with DuckDB.

2. Start the DuckDB CLI by typing `duckdb` in your terminal or command prompt. Alternatively, you can use DuckDB in a scripting language like Python:

   ```python

   import duckdb

   con = duckdb.connect(database=':memory:', read_only=False)

   ```

3. Create a table in DuckDB that corresponds to the structure of your Excel data. For example:

   ```sql

   CREATE TABLE my_table (

       column1 INTEGER,

       column2 VARCHAR,

       column3 DATE

   );

   ```

4. Import the CSV data into the newly created table using the `COPY` command. Adjust the file path and table name accordingly:

   ```sql

   COPY my_table FROM '/path/to/your/csvfile.csv' WITH (HEADER true, DELIMITER ',');

   ```

   If using a scripting language like Python:

   ```python

   con.execute("COPY my_table FROM '/path/to/your/csvfile.csv' WITH (HEADER true, DELIMITER ',')")

   ```

1. To check if the data has been imported correctly, run a simple query to retrieve some records:

   ```sql

   SELECT * FROM my_table LIMIT 10;

   ```

   In Python:

   ```python

   print(con.execute("SELECT * FROM my_table LIMIT 10").fetchall())

   ```

1. If you want to save the DuckDB database to a file for persistence, you can do so by connecting to a specific file when starting DuckDB:

   ```sql

   .open 'my_duckdb_database.duckdb'

   ```

   In Python:

   ```python

   con = duckdb.connect(database='my_duckdb_database.duckdb', read_only=False)

   ```

1. If you used a temporary CSV file, you might want to delete it after the import is complete to save space and keep your working directory clean.

By following these steps, you should be able to move data from Excel to DuckDB without the need for third-party connectors or integrations. Remember to adjust file paths, table names, and column types according to your specific data and environment.