DappLooker Docs
  • 👋Welcome
  • Data APIs for AI
    • Overview
    • Changelog
    • API Authentication
    • API Endpoints
      • GET: Crypto Token Market Data
      • GET: List of All Tokens
      • GET: Agent Details
      • POST: Response from DappLooker (NLQ)
    • Best Practices
    • Conclusion
  • DappLooker Analytics
    • 🗃️Products
      • 📶Analytics
        • 🔎Browse and Search data
        • 📈Creating Charts
          • No-Code Charts
          • SQL Charts
        • 🔢Custom Values
        • 📊Dashboards
          • Create Dashboard
          • Add Charts to Dashboard
          • Discover Page
          • Link dashboard to another dashboard
          • Adding Filters to Dashboard
            • Time Filter
        • ♻️Convert No-Code to SQL
        • 🔗Making Charts and Dashboards Public
      • 🔍Subgraph Analyzer
      • ✨AI Studio
        • AI Studio API Support
      • 🤖DataBOT
        • 🎮Discord Bot
        • ▶️Telegram Bot
        • 🌐Connect with Leading Networks and dApps
      • 🔑DappLooker SDK
        • 🔎Tracking API Usage
    • 🌐Supported Networks
      • Blockchain Data
      • Smart Contracts
      • Subgraphs
      • SubQuery
      • Offchain Data Sources
    • 📲Registering Data
      • My Dashboard Overview
      • Smart Contracts
      • Subgraph
      • Subquery
      • Off-Chain Integration
    • 🔖Featured Projects
    • 🎯Features
      • XRay Feature
      • Filtering
      • Summarize
      • Downloading
        • Download Chart Data
      • Editor Panel
        • Preview Chart
        • Joining Data
        • Types Of Join Data
        • Sorting
        • Row Limit
        • Convert to models
        • Duplicate a Chart
        • New Collection
      • Creating Custom Column and Custom Expressions
      • 📷Screenshot
      • 🗃️Collections
        • Browse Collection
        • Personal Collection
        • Team Collection
    • ⛓️Smart Contract Live Query
    • 🔔Push Notifications
      • 👀Where to view notifications?
      • 📰Push x MetaMask Snaps
    • 👨‍⚖️Case Studies
      • 1️⃣Community Updates
      • 2️⃣DeFi Reports
      • 3️⃣On-Chain & Off-Chain Analysis
      • 4️⃣User Retention Analysis
      • 5️⃣DappLooker Telegram Bot
      • 6️⃣Subgraph Powered No-Code Dashboards
      • 7️⃣API Use Case: Beamswap
      • 8️⃣Embedding Use Case: GRTDataHub
    • 💰Pricing
      • Pricing Breakdown
      • Discounts And Payments
    • 💻Deploy a subgraph on the DappLooker custom node
    • 🥷DappLooker No-code Ninjas Program!
    • 🤝Sponsor With Us
    • 🔗Relevant Resources
    • ☎️Contact Us
  • API Guides
    • Get API Key
    • How to Get an API of a Chart
    • Render Chart or Dashboard as an Image with API
    • Mintbase
      • Individual Store Level APIs
      • Mintbase Protocol Level APIs
    • Nordek Developer APIs
  • Explorers
    • CeloSpy
    • VaraSpy
Powered by GitBook
On this page

Was this helpful?

  1. DappLooker Analytics
  2. Products
  3. Analytics

Creating Charts

PreviousBrowse and Search dataNextNo-Code Charts

Last updated 1 year ago

Was this helpful?

Introduction:

In today's data-driven world, effective visualization of information is crucial for understanding trends, patterns, and insights. DappLooker provides powerful tools for creating charts that enable users to analyze data, filter information, and present it in a visually appealing manner. In this, we will explore two types of charts: No-Code and SQL charts, along with their respective features and benefits.

  1. No-code charts refer to creating visual charts and graphs without coding or programming knowledge. This approach allows individuals without technical backgrounds to easily generate visual representations of data for various purposes such as presentations, reports, or data analysis.

  1. SQL (Structured Query Language) charts involve creating visual representations of data by leveraging SQL queries and database systems. SQL is a standard programming language used for managing and manipulating relational databases, and it provides powerful capabilities for extracting, transforming, and aggregating data.

🗃️
📶
📈
NO-Code Charts:
SQL Charts: