Plotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.
DataWrapper is recommended for journalists, marketers, data analysts, educators, and any professionals who need to present data in a visually engaging and accessible way. It is also suitable for small businesses and organizations that do not have a dedicated data visualization team but need to produce high-quality visual reports.
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Based on our record, Plotly should be more popular than DataWrapper. It has been mentiond 33 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / 2 months ago
Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / 4 months ago
In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / 6 months ago
How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / 12 months ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago
Source: Self-administered survey of 256 Singaporeans aged 19-26 Tools: Datawrapper (Bar Chart), Canva Pro (Overall Design). Source: over 2 years ago
Tools: Canva Pro (Overall Design, Copyright-free Icons), Datawrapper (Pie Chart), SankeyMatic (Sankey Diagram). Source: over 2 years ago
I got this data from [World Population Review - State Incarceration rates](https://worldpopulationreview.com/state-rankings/prison-population-by-state) and [World Population Review - Country Incarceration Rates](https://worldpopulationreview.com/country-rankings/incarceration-rates-by-country) and used [Datawrapper](datawrapper.de) for the visualization. Source: about 3 years ago
Datawrapper.de - you can make charts or different kinds of maps. This is a choropleth map. Source: over 3 years ago
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Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application
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Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.