Data analysts choose SQL because it can handle huge amounts of data. SQL is also a well-known standard in the professional community.
A data analyst would use SQL instead of a spreadsheet to work with a huge amount of data. SQL can also quickly pull information from many different sources in a database and record queries and changes throughout a project.
The analyst can use the DROP TABLE IF EXISTS query to delete the tables so they don’t clutter the database.
The analyst is typecasting. Typecasting means converting data from one type to another.
The analyst can use the CAST function to convert text strings to floats.
The analyst can use the COALESCE function to eliminate the null values from the results.
The statement SUBSTR(state, 1, 2) AS new_state will retrieve the first 2 letters of each state name and store the result in a new column as new_state. The complete query is SELECT customer_id, SUBSTR(state, 1, 2) AS new_state FROM customer ORDER BY state DESC. The SUBSTR function extracts a substring from a string. This function instructs the database to return 2 characters of each state name, starting with the first character. The customer ID number 47 appears in row 9 of your query result.
Some benefits of SQL include tracking changes across a team, interacting with database programs, and pulling information from different database sources.
The clause DISTINCT billing_state will remove duplicate entries from the billing_state column. The complete query is SELECT DISTINCT billing_state FROM invoice ORDER BY invoice_id. The DISTINCT clause removes duplicate entries from your query result. The billing state AZ appears in row 17 of your query result.
The function LENGTH(state) > 2 will return any state names that are greater than 2 characters long. The complete query is SELECT * FROM customer WHERE LENGTH(state) > 2. The LENGTH function counts the number of characters a string contains. The country Ireland appears in row 1 of your query result.
Typecasting refers to the process of converting data from one type to another.
The CAST function can be used to convert the DATE datatype to the DATETIME datatype. CAST can be used to convert any database field from one datatype to another.
The CONCAT function lets you add strings together to create new text strings that can be used as unique keys.
SQL will handle the data most efficiently. SQL can handle huge amounts of data.
The analyst can use the INSERT INTO command to add a new customer to the database.
In SQL databases, the float data type refers to a number that contains a decimal.
The CAST function can be used to convert data from one datatype to another.
An analyst would choose to use spreadsheets instead of SQL when visually inspecting data or working with a small dataset.
The analyst can save the data by downloading the data as a spreadsheet or creating a new table for the data.
Data analysts usually use SQL to deal with very large datasets.
The COALESCE function can be used to return non-null values in a list.
The function LENGTH(postal_code) > 7 will return any postal codes that are greater than 7 characters long. The complete query is SELECT * FROM customer WHERE LENGTH(postal_code) > 7. The LENGTH function counts the number of characters a string contains. Hughes is the last name of the customer that appears in row 10 of your query result.
Feedback: The statement SUBSTR(last_name, 1, 3) AS new_last_name will retrieve the first 3 characters of each postal code and store the result in a new column as new_last_name. The complete query is SELECT employee_id, SUBSTR(last_name, 1, 3) AS new_last_name FROM employee ORDER BY postal_code. The SUBSTR function extracts a substring from a string. This function instructs the database to return 3 characters of each postal code, starting with the first character. The employee ID number 3 is in row 5 of your query result.
The clause DISTINCT invoice_date will remove duplicate entries from the billing_state column. The complete query is SELECT DISTINCT invoice_date FROM invoice.
Data analysts choose SQL for which of the following reasons? Select all that apply.
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