How to Visualize Business Data and Integrate External Estimating Info

Hello everyone, I am new here and happy to join this Plotly community. I study data visualization and interactive dashboard with Plotly and Dash, and I want to learn how to present business data in clear and useful charts. I try many examples with time series, bar charts, and scatter plots, and I find this forum very helpful because many members share real code and best practice for Python and R usage. I have a little experience with Excel and simple charts before, but I want to improve with Plotly because interactive graph help me to explain data story to others.

In my work sometimes I get business data from different sources and I need show them in dashboard for team review. For example, we discuss data from partners who outsource construction estimating services and want to show cost trends and resource allocation in a report. I think this kind of real business data can be good example to practice with Plotly, but I am not sure how to clean and organize data before visualization. Can someone share tips for data prepping and best Plotly chart type when showing multiple categories and time trends together? Also, if there are sample templates for business dashboards you recommend, I would like to see them. Thanks in advance for help!

Hey Alexander,

Welcome to Plotly and I’d recommend checking out Plotly Studio Plotly Studio | Agentic Analytics and Plotly Python Graphing Library .

Plotly Studio is a new creation that is an application interface that allows you to drop in datasets and Plotly has leveraged ai and some cleaver prompt engineering to generate in-depth dashboards that are build from the dataset and plotly library. This is a good way to get inspiration on graph ideas and approaches building out your own graphs from scratch if you’re interested in doing some programming. But plotly studio is a no code required solution and you might be able to build what you need from that alone.

The other resource I provided Plotly Python Graphing Library gives an idea of all the graphs available within the plotly library, this can help educate you on deferent graph names, configurations and limited working examples to get started from.

Hope this helps,
Pip