Based on our record, Plotly should be more popular than Tableau Public. 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.
Now, if you do want to play around with data visualizations, you can do that for free with Tableau Public https://public.tableau.com/en-us/s/. Source: almost 2 years ago
Tableau Public - https://public.tableau.com/en-us/s/. Source: almost 2 years ago
Tableau and PowerBI are generally viewed as industry standard tools. The good news is you have free options for both! Tableau Public and PowerBI Desktop are what you're looking for. Try them out and pick which one you like more. The skills are pretty transferable once you master the basics. As far as python ML tools, ones that pop up pretty frequently are scikit-learn (questionable math notwithstanding), XGBoost,... Source: over 2 years ago
I played with the idea of doing something similar and putting it all in Google Sheets (https://www.google.com/sheets/about/) so I could visualize it all in Tableau Public (https://public.tableau.com/en-us/s/). Source: over 2 years ago
I record everything in a spreadsheet and then built a set of dashboards using Tableau. Took a bit to get set up, but once I had it, I can produce the summary in a few minutes. Here's an example of my weekly summary. If you're interested, happy to send you the Tableau workbook so you can take a look. 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: 12 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: about 1 year 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
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