Datawrapper
Datawrapper is an intuitive data visualization tool that helps you create professional charts, maps, and tables for digital stories and reports without requiring any coding or design skills.
Stata
Stata is a complete statistical software package that provides everything you need for data manipulation, visualization, statistics, and automated reporting to uncover meaningful insights from your complex datasets.
Quick Comparison
| Feature | Datawrapper | Stata |
|---|---|---|
| Website | datawrapper.de | stata.com |
| Pricing Model | Freemium | Subscription |
| Starting Price | Free | $18/month |
| FREE Trial | ✘ No free trial | ✓ 7 days free trial |
| Free Plan | ✓ Has free plan | ✘ No free plan |
| Product Demo | ✓ Request demo here | ✓ Request demo here |
| Deployment | ||
| Integrations | ||
| Target Users | ||
| Target Industries | ||
| Customer Count | 0 | 0 |
| Founded Year | 2012 | 1985 |
| Headquarters | Berlin, Germany | College Station, USA |
Overview
Datawrapper
Datawrapper helps you transform raw data into polished, interactive visualizations in minutes. You can upload your data from Excel, Google Sheets, or CSV files and choose from a wide variety of chart types, including bars, lines, and scatter plots. The tool handles the design heavy lifting for you, ensuring every graphic is mobile-responsive and follows high-quality data visualization principles automatically.
You can also build detailed choropleth, symbol, and locator maps to give your data geographical context. Whether you are a journalist, researcher, or business analyst, you can embed your finished charts directly into your website or export them as high-resolution images and PDFs. The platform scales with your needs, offering a powerful free tier for individuals and robust white-label options for large newsrooms and organizations.
Stata
Stata provides you with a integrated environment for data science, allowing you to move seamlessly from data ingestion to publication-quality reporting. You can manage complex datasets, perform advanced statistical analyses, and create beautiful visualizations using either a point-and-click interface or a powerful command language. Whether you are conducting simple descriptive statistics or complex multi-level modeling, the platform ensures your results are accurate and reproducible.
You can automate your entire workflow using integrated versioning, which guarantees that scripts written years ago will still run perfectly today. The software is widely used across various fields including economics, sociology, political science, and biomedicine. It scales to meet your needs, offering specialized versions that can handle massive datasets with billions of observations and thousands of variables on multi-core computers.
Overview
Datawrapper Features
- Interactive Charts Create 20 different chart types that allow your readers to hover over data points for deeper insights and details.
- Responsive Maps Build beautiful locator, symbol, and choropleth maps that automatically adjust their layout to fit any screen size perfectly.
- Live Data Links Connect your charts to external CSVs or Google Sheets to ensure your visualizations update automatically whenever your data changes.
- Colorblind Check Use built-in vision simulators to ensure your charts are accessible and readable for people with various types of colorblindness.
- PNG and PDF Export Download your visualizations as high-resolution images or vector PDFs for use in print reports and slide presentations.
- Team Collaboration Organize your work into shared folders where you and your colleagues can edit and manage visualizations together.
Stata Features
- Automated Reporting. Create dynamic documents that combine your analysis results, text, and graphs into Word, PDF, Excel, or HTML files automatically.
- Advanced Visualization. Generate publication-quality graphs and customize every detail of your charts to communicate your data findings effectively to your audience.
- Data Management. Clean, merge, and reshape your datasets with a comprehensive suite of tools designed to handle even the most complex data structures.
- PyStata Integration. Call Python code directly from within Stata and pass data between the two environments to expand your analytical capabilities.
- Reproducible Research. Use integrated versioning to ensure your scripts produce the exact same results every time, even as the software updates over years.
- Extensive Statistics. Access hundreds of built-in statistical tools ranging from standard linear regression to advanced Bayesian analysis and multi-level modeling.
Pricing Comparison
Datawrapper Pricing
- Unlimited charts, maps, and tables
- Unlimited visualization views
- Export as PNG
- Live-updating charts
- Slack & Microsoft Teams integration
- Everything in Free, plus:
- Remove Datawrapper branding
- Export as PDF and SVG
- Shared team folders
- Custom design themes
- Priority email support
Stata Pricing
- Handle up to 2,048 variables
- Process up to 2.1 billion observations
- Full suite of statistical features
- Standard technical support
- PDF documentation included
- Everything in BE, plus:
- Handle up to 32,767 variables
- Analyze larger datasets with ease
- Support for longer string variables
- Enhanced performance for complex models
Pros & Cons
Datawrapper
Pros
- Extremely fast learning curve for beginners
- Excellent mobile responsiveness for all charts
- High-quality default design and typography
- Generous free plan with unlimited views
Cons
- Significant price jump for branding removal
- Limited customization for advanced layout tweaks
- No offline version available for use
Stata
Pros
- Exceptional technical documentation and community support
- Superior command-line interface for fast analysis
- Rock-solid reproducibility with built-in version control
- Extremely stable and reliable for large-scale research
- Easy to learn for those with basic coding knowledge
Cons
- Interface feels dated compared to modern web apps
- Graphics customization can require complex coding
- Licensing costs are high for individual users
- Limited machine learning capabilities compared to R or Python