Vizly and Data Analytics

Features

  • Vizly can analyze data, generate visualizations and perform supervised and unsupervised learning

  • Choice of four LLMs: GPT-4, GPT-4o, GPT-4o mini, Claude 3 Opus and Claude 3.5 Sonnet

  • Choice of Python or R language

  • Integrated with Google Sheets

  • Vizly is a web-based platform that accepts the following file types: CSV, Excel, SPSS, PDF, image, and JSON.

  • Results can be exported as PDF, .docx, HTML, and .ipynb file formats.

  • A free plan is available, but access is limited to 10 messages (queries) per month. Other options include a basic plan at $19.99/month and a premium plan of $29.99/month. For students and faculty, there is a 50% discount on the premium plan. The premium plan includes unlimited messages per month and priority support. Enterprise and custom pricing are offered.

  • Vizly can be integrated with Snowflake, Redshift, BigQuery, SQL Server, and Postgres for organizations using a customized connection. They also offer a REST API for custom applications.

  • Results can be shared via a generated web link.

  • Vizly can generate univariate, bivariate, and multivariate visualizations.

  • Vist the Blog tab, as I wrote two blogs on Vizly that were published on Medium.com

Getting Started

  • Once a dataset is uploaded, the program will begin asking questions about what functions you would like to see. A logical starting point would be to ask for a data summary that would describe the number of rows and columns and an explanation of column headers.

  • Alternatively, you can request exploratory data analysis that will generate basic descriptive statistics and data visualizations. Vizly can perform data preprocessing, data visualization, supervised (classification/regression), and unsupervised learning. Based on the data, the program will generate suggestions or ask questions. Users can opt to view the code to see what commands and packages were used for the analysis. Users can rate the response as good or bad. The latter will allow the user to report any issues to the developers. As you can see in all of these datasets, AI is a huge time saver.

Important Note

I need to point out that all datasets should first be explored in a spreadsheet before uploading to Vizly. The second point is Vizly is optimally used by those individuals with an intermediate data science background so they would know how to ask appropriate questions and be able to judge the accuracy of responses. Vizly could be used in a data analytics course where faculty can educate students as to the optimal ways to leverage Vizly.

Video #1 Upload a Dataset and Perform Descriptive Statistics

Video #2 How to Handle Missing Data, Outliers and Class Imbalance

Video #3 Creating a Regression Model to Predict Hospital Charges

Video #4 Creating a Classification Model to Predict Heart Disease

Video #5 Analyzing WHO Mortality Data