SQL Data Analytics Interview Problem for Freshworks Data Analyst position.

• The key insight here is to use date functions to find the start of each month and calculate the price difference from the previous month using SQL. 📅💰 This approach ensures that the latest price in each month will be applicable for the next month. 📈 This method is a creative way to handle date-based data analysis in SQL. 🎯

Table of Contents

• Introduction
• Method One – Using Table
  • Subsection 1
  • Subsection 2
• Method Two – Using Calendar
  • Subsection 1
  • Subsection 2
• Conclusion

Introduction 📊

The problem involves date functions and two solutions will be explored – one using a table and the other using a calendar. A table consisting of SQ ID, date, and price will be used for demonstration.

Method One – Using Table 🗂️

• The table consists of SQ ID, date, and price records.
• SQL query is used to retrieve records based on specific conditions to obtain outputs for different months.

Subsection 1

The SQL query uses the date part function to extract the day of the month and filter records accordingly.

Subsection 2

Different SQL functions and techniques are used to obtain the desired results from the table data.

Method Two – Using Calendar 📅

• A calendar table is created to effectively manage and structure date-related data.
• The SQL query joins the calendar table with the existing data to obtain accurate records for specific months and dates.

Subsection 1

The process of creating a calendar table is explained along with the purpose of using it for data analysis.

Subsection 2

The steps involved in joining the calendar table with the existing data to obtain the necessary information are outlined.

Conclusion 📝

The two methods, involving the use of a table and a calendar, provide different approaches to solve the data analysis problem. Each method has its advantages and is suitable for different scenarios.

Key Takeaways

• SQL queries play a crucial role in data analysis tasks.
• Having a structured approach to working with date-related data is essential for accurate results.

FAQ

• Q: Which method is more suitable for complex date-related data analysis?
  • A: It depends on the specific requirements of the analysis. Both methods have their advantages and can be used effectively based on the nature of the data.