Jan 15, 2024 · To create tables, open the Superstore database, double-click to access tables, then right-click to initiate table creation. Under “General,” input your desired table name.

Mar 18, 2022 · In this article, we will use the superstore dataset, to analyze sales performance throughout the years and business growth opportunities both from the company and customer …

Jul 26, 2024 · To store the sales data, i created four tables: `salesrecord`, `customerinfo`, `items`, and `shippinginfo`. Each table has a specific purpose and structure to organize the data …

The CREATE TABLE statement is used to create a new table in a database. .... The column parameters specify the names of the columns of the table. The datatype parameter specifies …

This project analyze the Superstore dataset using SQL to uncover key business insight related to sales, profit and customer trend. the goal is derive data-driven recommendations to improve …

1.Data Import: Load the CSV file into MySQL using the Import Table Wizard. 2.Data Cleaning: Ensure no null values are present and correct any inconsistencies. 3.Column Renaming: …

Uses SQL to analyze a sample Superstore database. Tracks Daily, Monthly and Yearly Customers, Products Sold, Total Profit and Average-Revenue-Per-Customer (ARPC). Dataset …

In this article, I will walk you through a comprehensive SQL project built on the Superstore dataset. This project simulates a real-world retail analysis to uncover key sales trends and...

Oct 7, 2023 · The main goal of this data analysis project is to conduct an in-depth analysis of sales data to gain valuable insights into sales performance, customer segmentation, hot …

Apr 15, 2025 · Below are step-by-step instructions for downloading the dataset, importing it into a SQL environment, and making small adjustments to clean the data. Download the dataset …