https://github.com/istinnew/gooutside_project

Repository for the GoOutside Case Study project including BigQuery SQL, Google Sheets, and Looker Studio resources
https://github.com/istinnew/gooutside_project

Last synced: 11 days ago
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Repository for the GoOutside Case Study project including BigQuery SQL, Google Sheets, and Looker Studio resources

• Host: GitHub
• URL: https://github.com/istinnew/gooutside_project
• Owner: IstinNew
• License: mit
• Created: 2024-12-10T17:41:44.000Z (17 days ago)
• Default Branch: main
• Last Pushed: 2024-12-10T18:19:52.000Z (17 days ago)
• Last Synced: 2024-12-10T19:05:19.463Z (17 days ago)
• Language: SQL
• Size: 6.63 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# GoOutside Project

## Project Overview

GoOutside isn’t the average startup. They’re seasoned adventurers with a loyal customer base and a rapidly expanding inventory, but their data is currently locked away in inaccessible systems. To untangle this mess, one can utilize BigQuery, Google Sheets, and Looker Studio. 

This repository contains work, including SQL queries, Google Sheets features, and Looker Studio dashboards, along with screen recordings of the process.

## BigQuery SQL

This folder contains the SQL queries used to create and analyze various datasets:

- Combined Sales Data

- Annual Sales

- Sales Drivers

- Total Sales

## Looker Studio

### Steps to Create Dashboards:

1. **Connect Your Data**

2. **Join Data Sources**

3. **Create Visualizations**

4. **Add Filters and Controls**

5. **Customize Layout**

## Screen Recordings

We have screen recordings available for:

- BigQuerySQL workspace

- Looker Studio workbench

These recordings provide a step-by-step guide to our data processing and visualization workflows.

## Google Sheets (Can be used as well)

### Features:

- **Pivot Tables**: Used for summarizing and analyzing data.

- **Column Status**: For tracking the status and updates of columns.

## Time Taken

The completion of this project took approximately 2.5 days.