Introduction

Welcome to Livedocs' documentation! This introductory guide will help you start by introducing Livedocs' core features and capabilities for data analysis and collaboration. You will also gain insight into the foundational concepts that shape Livedocs, providing a solid base to navigate its powerful tools and workflows with confidence.

What is Livedocs?

Livedocs is a data tool that enables teams to work with data efficiently by combining Python code, SQL queries, data visualizations, and rich narrative text, all within a single workspace. It is designed to simplify data workflows, making it easier for technical and non-technical users to analyze and present data.

Core Capabilities

• Integrated Workflow: Livedocs provides a powerful and seamless workflow from data connection and analysis to sharing and publishing insights, so you never have to juggle multiple tools. You can connect directly to a sales database, run SQL queries to analyze weekly trends, use Python to generate visualizations, and add narrative text to explain your findings, all within a beautifully designed and intuitive interface. This streamlined process ensures your insights are ready to share with your team efficiently and quickly.
• Flexible Data Analysis: Livedocs is built with technical and non-technical users in mind, offering powerful tools for data professionals who want to leverage Python and SQL while also providing a beautiful and intuitive no-code interface for those who prefer a simpler approach. Your data scientist can dive deep into website traffic data using custom Python scripts, while a marketing team member can quickly generate visualizations using the no-code tools. This flexibility fosters a collaborative environment where data insights are accessible to everyone, regardless of technical skill level.
• Collaboration and Sharing: Working in real-time with your team has never been more collaborative or enjoyable. One team member can write and execute SQL queries, another can add Python-generated visualizations, and a third can provide explanatory text, all simultaneously. Livedocs' collaborative features ensure that as updates and edits happen, everyone stays in sync, enabling teams to discuss findings, refine their analysis, and make data-driven decisions faster.

Key Concepts to Get Started

Here are some foundational concepts to familiarize yourself with as you begin:

• Livedocs: Think of a Livedoc as a dynamic data report containing code, text, visualizations, and more. It is the building block of your data projects, enabling you to tell compelling data stories. Everything in Livedocs revolves around these documents, making them central to your workflow, from data analysis to sharing insights.
• Data Sources: Livedocs allows you to connect to various data sources, such as PostgreSQL databases and CSV files. This flexibility makes it easy to bring your data into the platform and start analyzing it immediately. Data is the fuel that powers your Livedocs, and understanding how to connect to these sources ensures you can access and leverage the information needed for meaningful analysis.
• Code and No-Code Options: Whether you prefer to write Python scripts, run SQL queries, or use our no-code features, Livedocs allows you to work however you are most comfortable. This flexibility makes Livedocs accessible to all users, empowering data scientists and non-technical team members to contribute to data-driven insights.
• Automation and Scheduling: Set up automated runs for your documents to keep your data analysis up-to-date without manual intervention. This feature helps streamline your workflow and ensures your insights are always current, saving time and reducing the need for repetitive tasks. Automation gives you more time to focus on analyzing results rather than managing data updates.

With these foundational concepts in mind, you are ready to get started with Livedocs. Begin by following the Signing Up for Livedocs tutorial, which will guide you through setting up your account and introduce you to your workspace.