Documentation

Getting Started

Quick Start Guide

Get up and running with Prospector Studio in minutes.

Create your account and start your 14-day free trial. No credit card required.

Step 2: Connect Your Data

Use our 500+ pre-built connectors or upload files directly.

Step 3: Explore Your Data

Use our intuitive interface to explore, visualize, and analyze.

Create dashboards and reports to share with your team.

Start Free Trial →

Video Tutorials

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Platform Overview

15-minute introduction to core features and capabilities.

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Building Your First Dashboard

Step-by-step guide to creating interactive dashboards.

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Advanced Analytics

Deep dive into ML models and predictive analytics.

User Guides

Data Connection & Import

Supported Data Sources

Databases: MySQL, PostgreSQL, Oracle, SQL Server, MongoDB, Cassandra
Cloud Storage: S3, Azure Blob, Google Cloud Storage
SaaS Applications: Salesforce, HubSpot, Google Analytics, Shopify
Files: CSV, Excel, JSON, Parquet, Avro
Streaming: Kafka, Kinesis, Event Hubs, Pub/Sub

Connection Setup

Navigate to Data Sources
Select your source type
Enter connection credentials
Test connection
Configure sync settings

Data Preparation

Data Cleaning

Handle missing values
Remove duplicates
Fix data types
Standardize formats
Validate data quality

Data Transformation

Create calculated fields
Apply filters and conditions
Join and merge datasets
Aggregate and summarize
Pivot and unpivot data

Analytics & Visualization

Chart Types

Line, Bar, and Area charts
Scatter and Bubble plots
Heatmaps and Treemaps
Sankey and Network diagrams
Geographic maps
Custom D3.js visualizations

Statistical Analysis

Descriptive statistics
Correlation analysis
Regression modeling
Time series analysis
Hypothesis testing
A/B testing

Machine Learning

Pre-built Models

Classification (Random Forest, XGBoost, Neural Networks)
Regression (Linear, Polynomial, Ridge, Lasso)
Clustering (K-Means, DBSCAN, Hierarchical)
Time Series (ARIMA, Prophet, LSTM)
Anomaly Detection (Isolation Forest, Autoencoders)

Model Training

Select your dataset
Choose target variable
Select algorithm
Configure parameters
Train and validate
Deploy to production

API Reference

REST API

Authentication

curl -X POST https://api.strike48.com/auth/token \
  -H "Content-Type: application/json" \
  -d '{"api_key": "your_api_key", "api_secret": "your_api_secret"}'

Common Endpoints

Get Datasets

GET /api/v1/datasets

Execute Query

POST /api/v1/query
{
  "dataset_id": "ds_123",
  "query": "SELECT * FROM sales WHERE date > '2024-01-01'"
}

Create Dashboard

POST /api/v1/dashboards
{
  "name": "Sales Dashboard",
  "widgets": [...]
}

Python SDK

Installation

pip install prospector-studio

Basic Usage

from prospector_studio import Client

# Initialize client
client = Client(api_key="your_api_key")

# Load dataset
dataset = client.get_dataset("ds_123")

# Run analysis
results = dataset.query("SELECT * FROM sales")

# Create visualization
chart = results.plot(kind="bar", x="month", y="revenue")

GraphQL API

Schema Explorer

Interactive GraphQL playground available at api.strike48.com/graphql

Example Query

query GetDashboard($id: ID!) {
  dashboard(id: $id) {
    name
    widgets {
      id
      type
      config
      data
    }
  }
}

Best Practices

Performance Optimization

Query Optimization

Use appropriate indexes
Limit data scanned
Leverage caching
Partition large datasets
Use incremental refresh

Dashboard Performance

Limit widgets per dashboard
Use aggregated data
Implement lazy loading
Optimize refresh intervals
Cache computed metrics

Security Guidelines

Access Control

Implement least privilege principle
Use role-based permissions
Enable MFA for all users
Regular access audits
Separate dev/prod environments

Data Protection

Encrypt sensitive data
Mask PII in non-production
Implement data retention policies
Regular security training
Monitor for anomalies

Integrations

Business Intelligence Tools

Tableau: Native connector with live query
Power BI: Direct query and import modes
Looker: LookML generation support
Qlik: Associative model integration

Development Tools

Jupyter: Native notebook integration
VS Code: Extension for query development
Git: Version control for queries and configs
CI/CD: Jenkins, GitHub Actions, GitLab CI

Productivity Tools

Slack: Alerts and notifications
Teams: Embedded dashboards
Email: Scheduled reports
Confluence: Documentation sync

Troubleshooting

Common Issues

Connection Problems

Verify network connectivity
Check firewall rules
Validate credentials
Review IP whitelisting
Test with minimal permissions

Performance Issues

Check query complexity
Review data volumes
Monitor resource usage
Optimize indexes
Consider caching strategies

Data Quality Issues

Validate source data
Check transformation logic
Review data types
Verify join conditions
Test with sample data

Documentation

Documentation

Getting Started

Quick Start Guide

Step 1: Sign Up

Step 2: Connect Your Data

Step 3: Explore Your Data

Step 4: Share Insights

Video Tutorials

Platform Overview

Building Your First Dashboard

Advanced Analytics

User Guides

Data Connection & Import

Supported Data Sources

Connection Setup

Data Preparation

Data Cleaning

Data Transformation

Analytics & Visualization

Chart Types

Statistical Analysis

Machine Learning

Pre-built Models

Model Training

API Reference

REST API

Authentication

Common Endpoints

Python SDK

Installation

Basic Usage

GraphQL API

Schema Explorer

Example Query

Best Practices

Performance Optimization

Query Optimization

Dashboard Performance

Security Guidelines

Access Control

Data Protection

Integrations

Business Intelligence Tools

Development Tools

Productivity Tools

Troubleshooting

Common Issues

Connection Problems

Performance Issues

Data Quality Issues

Resources

Downloads

Community

Learning Resources

Support

Get Help

Training & Certification

Available Courses

Certification Levels

Need More Help?