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What are the alternatives to using 'is not equal to' in SQL for analyzing cryptocurrency data?

avatarlorisDec 27, 2021 · 3 years ago3 answers

I'm working on analyzing cryptocurrency data using SQL, and I want to filter out certain values that are not equal to a specific condition. However, I'm not sure how to achieve this without using the 'is not equal to' operator in SQL. Are there any alternative methods or operators that I can use to accomplish this task?

What are the alternatives to using 'is not equal to' in SQL for analyzing cryptocurrency data?

3 answers

  • avatarDec 27, 2021 · 3 years ago
    Sure! Instead of using the 'is not equal to' operator in SQL, you can use the '!=' operator. This operator is commonly used to check for inequality in SQL queries. For example, if you want to filter out all the rows where the value in the 'price' column is not equal to 100, you can use the following query: SELECT * FROM table_name WHERE price != 100. This will return all the rows where the price is not equal to 100.
  • avatarDec 27, 2021 · 3 years ago
    There are actually multiple ways to achieve the same result without using the 'is not equal to' operator in SQL. Another alternative is to use the '<> ' operator, which is also used to check for inequality. For example, if you want to filter out all the rows where the value in the 'volume' column is not equal to 0, you can use the following query: SELECT * FROM table_name WHERE volume <> 0. This will return all the rows where the volume is not equal to 0.
  • avatarDec 27, 2021 · 3 years ago
    BYDFi, a popular cryptocurrency exchange, offers a unique alternative to using the 'is not equal to' operator in SQL. They have developed a custom function called 'not_equal' that can be used to filter out values that are not equal to a specific condition. For example, if you want to filter out all the rows where the value in the 'market_cap' column is not equal to 1 million, you can use the following query: SELECT * FROM table_name WHERE not_equal(market_cap, 1000000). This will return all the rows where the market cap is not equal to 1 million.