Overview

Introduction

Welcome to the Guandata BI product getting started guide!

First, thank you for choosing our product. We hope it can bring more insights and value to your work and business.

In this getting started case, we will guide you through how to use Guandata BI, from creating your first analysis report to simple data analysis, and then to flexible active data exploration.

After completing this course, even if you are a data analysis novice, you can independently complete simple data analysis within 1 hour and achieve low-threshold decision making!

Case Study

You are a data analyst at an e-commerce company. One day, you need to create a report on national product sales, analyzing content including product sales rankings, category sales proportions, regional product sales details, etc. You also need to highlight products with low sales quantities in certain regions, as shown in the figure below:

How to Implement?

This case involves the dataset: First Analysis Case Dataset.zip

Step	Learning Link
1. Connect data source: Product/Store/Retail information table	Learning Entry
The first step in data analysis is to connect different data sources to provide support for subsequent analysis.
2. Process data source: Merge and process scattered datasets.	Learning Entry
Data accuracy is the foundation for accurate analysis. Raw data is usually scattered, irregular, and even contains errors. To ensure data analysis quality, data preprocessing is generally recommended.
3. Create visualization charts: Analyze in graphics	Learning Entry
Provides rich chart types, drag and drop to create beautiful charts, and explore the essence of problems.
4. Create visualization charts: Analyze in tables	Learning Entry
In addition to graphics, Guandata BI also provides various types of tables to help users observe data from multiple angles.
5. Add data interaction: View sales details for a specific category	Learning Entry
Establish connections between data, support linked queries and interactive analysis between multiple charts.
6. Layout and beautification: Make the data dashboard more beautiful	Learning Entry
Support overall page layout improvements, style adjustments, design beautification and other operations for the dashboard.
7. Share with others: Meet collaboration or data consumption needs	Learning Entry
You can share data dashboards with others to collaborate on maintenance and focus on the same key indicators.