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Based on our record, Plotly should be more popular than DataWrapper. It has been mentiond 29 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.
Source: Self-administered survey of 256 Singaporeans aged 19-26 Tools: Datawrapper (Bar Chart), Canva Pro (Overall Design). Source: over 1 year ago
Tools: Canva Pro (Overall Design, Copyright-free Icons), Datawrapper (Pie Chart), SankeyMatic (Sankey Diagram). Source: over 1 year 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 2 years ago
Datawrapper.de - you can make charts or different kinds of maps. This is a choropleth map. Source: over 2 years ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 5 months ago
If your CEO wants you to solo build an alternative to Tableau, PowerBi, or even Plotly then consider him/her delusional. Source: 11 months ago
Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: 12 months ago
I use plotly and like it a lot. It is slower though. Noticeable if you want to batch-generate a bunch of images and dump them into a folder. But that probably isn't the case most times. Source: about 1 year ago
Plotly Dash is a great framework for developing interactive data dashboards using Python, R, and Javascript. It works alongside Plotly to bring your beautiful visualizations to the masses. - Source: dev.to / over 1 year ago
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application
D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
Google Data Studio - Data Studio turns your data into informative reports and dashboards that are easy to read, easy to share, and fully custom. Sign up for free.
Chart.js - Easy, object oriented client side graphs for designers and developers.
Dasheroo - Dasheroo provides overall business analytics, web analytics, marketing, social media and sales through a data dashboard.
Latana - Latana is the first brand tracking tool to use advanced data science to ensure reliable and accurate brand insights.