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Ai-Powered Insights

Ask any question about your data and receive instant, detailed responses from our smart Ai.

Instant Visualization

Engage with your data through interactive charts that make it easy to identify patterns and trends.

Generate clear snapshots of your complex data - simplify, summarize or aggregate.

Data Exploration

Our advanced Ai chat feature allows you to interact with your data like never before. Simply upload your file, and our Ai chat assistant is ready to provide insights and answers to all your data-related questions.

Data Visualization

With our DatViz Ai, you can transform your data into a variety of compelling visualizations. Here are some examples of the types of charts and graphs you can create:

Bar Chart

Line Chart

Scatterplot

Geomapping

Correlation Matrix

Pie Chart

Video Tutorial (coming soon!)

Empower your projects with Ai generated statistical insights and intuitive data visualization.

Sample Use Cases

These sample use cases show how DatViz Ai turns complex data into clear, actionable insights, helping not-for-profit and businesses boost their decision-making and planning capabilities.

Drug Interaction Analysis and Classification

This use case comes from the Bohol Poverty Database Management System (PDMS) by the Bohol Local Development Foundation (BLDF), created in 2010. It aimed to measure poverty using the UNDP’s Multidimensional Poverty Index (MPI) by surveying poor families across Bohol. The goal was to assist the government in development planning and prioritizing essential services for the community.

Source of Data: Bohol Local Development Foundation (Actual data has been altered so as not to show real scores)

Measuring Poverty Index in Bohol

The goals of this study were to identify potential adverse interactions, understand the underlying mechanisms of these interactions, and develop a classification system to predict the likelihood and severity of drug interactions. What is shown here is a heatmap of Drug Name and Contraindications.

Source of Data: Kaggle (DrugData.csv)

Heart Disease Prediction

The goal of this study is to predict the likelihood of heart disease given various parameters such as age, chest pain type (cp), maximum heart rate achieved (thalach), etc. Correlation matrix is one of the important visualization techniques that is used in developing an accurate predictive model.

Source of Data: Kaggle (heart-disease.csv)