QuickChart Automate

QuickChart Automate generates dynamic line charts from JSON data and uploads them to Google Drive. Easily customize input data and chart types, ensuring your visualizations are tailored to your needs. This workflow streamlines the process of creating and storing charts, enhancing data presentation and accessibility.

7/8/2025
5 nodes
Simple
manualsimplequickchartgoogle drivesticky note
Categories:
Manual TriggeredSimple Workflow
Integrations:
QuickChartGoogle DriveSticky Note

Target Audience

This workflow is ideal for:
- Business Analysts: Who need to visualize sales data quickly and efficiently.
- Data Scientists: Looking for a simple method to generate and share charts without extensive coding.
- Marketing Teams: Who want to present quarterly performance data in an engaging format.
- Small Business Owners: Seeking to track and communicate their sales performance effectively.
- Educators: Who wish to demonstrate data visualization techniques in their lessons.

Problem Solved

This workflow addresses the challenge of generating dynamic line charts from JSON data and automating the upload process to Google Drive. It allows users to visualize sales data effortlessly, ensuring that they can present insights clearly and efficiently without needing advanced technical skills.

Workflow Steps

  • Manual Trigger: The workflow is initiated by clicking the ‘Test workflow’ button, allowing users to start the process at their convenience.
    2. Set JSON Data: The workflow sets up a JSON object containing the sales data, including a report title, labels for each quarter (Q1, Q2, Q3, Q4), and the corresponding sales figures (e.g., $1,250, $1,800, $1,550, $2,100).
    3. Generate Chart: The QuickChart node takes this JSON data and generates a dynamic line chart based on the provided sales figures and labels.
    4. Upload to Google Drive: The generated chart is then uploaded to Google Drive, allowing users to store and share their visualizations easily.

    • Customization Guide

    Users can customize this workflow by:
    - Changing Input Data: Modify the labels and salesData in the Edit Fields: Set JSON data to test node to reflect different datasets.
    - Using Real Data Sources: Replace the JSON data node with nodes that fetch live data from sources like APIs, databases, or Google Sheets.
    - Altering Chart Type: Change the Chart Type in the QuickChart node to visualize data in different formats such as bar, pie, or doughnut charts.
    - Customizing Chart Appearance: Utilize the Chart Options parameter to enhance the chart's aesthetics, including titles, colors, and axes adjustments.
    - Implementing Multiple Datasets: For more complex visualizations, configure multiple datasets within the QuickChart node, allowing for comparative analysis.
    - Changing Output Destination: Instead of uploading to Google Drive, users can direct the output to other platforms like Slack, Discord, or save it locally.