Data Visualization is art. Create like a data artist

Turn data into insight, beautifully — autodash

After testing our product Autodash — AI Data Apps, we discovered that most users aren’t just looking for standard dashboards. They want to personalize the experience deeply, treating data visualization as a form of art. Listening to their interests, we’ve added features designed to help them become true data artists, turning insights into visually stunning, highly customized creations.

Data visualization is an art form. We built a product that turns you into the data artist. Try it here:

Design Features

This blog post will walk through all the design features we introduced into the product.

Now users can change trace/line/bar/component colors directly, instead of asking it to regenerate the chart with a different color

Pre-Image

Changed the green color’s shade and lower opacity.

The system auto-detects components generated in the visualization

Now users can change the chart/kpi card/text background and opacity as well; without regeneration or consuming credits

Pre-Image

Post Image, chart background, lines & text changed. White background -> Black and black -> white text/line

The same functionality also applies to the kpi cards

User can also select a color for the dashboard as a whole, change opacity and also apply a two-color gradient

Color edit panel

Pre and Post of entire dashboard background color change

We also develop custom AI SaaS products. We have done engagements with $Bn companies & early stage start-ups.

All of this combined with power AI data analytics abilities that help you get answer’s fast, uses Python’s data science libraries to find answers.

Analytics query

Design Features in pipeline

1. Preference Memory: We are internally testing a color and visual aesthetics-based memory system that will learn automatically what kind of colors/themes/charts you prefer

2. Themes: Every artist needs inspiration. We will give many professionally built visualization designs that will help users build amazing visualizations fast.

3. Fonts/Misc edit capability: Currently only main chart components are editable without regenerating the chart. We will give users the ability to change fonts, gridlines, and other misc. elements.

Analytics features in pipeline

1. Analytics Mode: A dedicated jupyter notebook like interface that allows users to build analytics pipelines quickly and easily.

2. Connectors: At the moment core support is for excel sheets and CSV. With SQL connectors available upon request. We plan to add all baseline data connectors to the system.

Thank you for reading. Autodash is the perfect tool for analytics done beautifully.