SELECT COUNT(*)
FROM ods_unstructured_data.t_unstructured_nature_demonstration_creation creatation
WHERE creation_content = '“两山”基地'   通过where过滤后的数据，还需要通过一个level的字段可以分别计算各种level的数据条数，sql该如何写

To achieve this, you can use a combination of the `WHERE` clause to filter the initial data and the `GROUP BY` clause to count the data by different levels. Here’s the SQL query you need:

```sql
SELECT 
    level,
    COUNT(*) AS count
FROM 
    ods_unstructured_data.t_unstructured_nature_demonstration_creation creation
WHERE 
    creation_content = '“两山”基地'
GROUP BY 
    level;
```

This query will filter the rows where `creation_content` is '“两山”基地' and then group the results by the `level` field, counting the number of records for each level.

Do you want details or have any questions? Here are five numbered questions for you to ask:

1. How can I include more fields in the `SELECT` clause?
2. How do I filter the data using multiple conditions?
3. Can you explain the difference between `WHERE` and `HAVING` clauses?
4. How do I perform a join with another table in this query?
5. What are the common aggregate functions in SQL?

Tip: Always ensure your data types match the fields you are filtering or grouping by to avoid unexpected results.

Learn how to count SQL records by different levels using a WHERE clause to filter data for '“两山”基地'. This SQL query example demonstrates grouping records by level, providing a practical solution to analyze structured data.

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