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
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3 months ago

For dashboards:
– https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others…

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10 months ago

If your CEO wants you to solo build an alternative to Tableau, PowerBi, or even Plotly then consider him/her delusional.

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over 1 year 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…

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over 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.

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over 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
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about 2 years ago

Data helps organizations make better decisions. With a programming language like Python to analyze your data and transform data into visual representations, you can effortlessly tell the story of your business. One way to create customized visuals from your data would be to use data visualization libraries in Python like Matplotlib, Seaborn, Ggplot2, Plotly, or Pandas. When you want to accomplish this task with…

– Source: dev.to
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about 2 years ago

If you are using template engine, you can use Plotly on the backend to generate a chart, convert it to an HTML div to plugged into the rendered template.
Then introduce plotly.js to allow the browser to render the generated chart on the frontend. See an example.

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over 2 years ago

Consider Plotly, it’s built on top of d3js and provides a nice abstraction layer that you can use from JavaScript, Python, R, etc.

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over 2 years ago

To plot some sensor data I use Plotly or Matplotlib.

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over 2 years ago

Wouldn’t plotly and nbviewer work for your use case?

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over 2 years ago

Python package manager (pip) consists of over 300,000 packages. You can use libraries like ​​SciPy, which contains various modules for optimization, linear algebra, integration, and statistics, or Plotly, which you can use for scientific-quality graphing. The scope of problems that Python libraries address is vast. Rarely will you struggle to find the right library that will help you solve the problem.

– Source: dev.to
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over 2 years ago

Check out Plotly. It’s very easy to make interactive plots.

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over 2 years ago

Now, it’s time to populate these plots with data. Luckily, these plots are not specific to Anvil, but are good old Plotly graphs.

So, we can simply use the go functions from the plotly.graph_objects module.

– Source: dev.to
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over 2 years ago

A while ago, I built a data-intensive application that collects, analyzes, and visualizes data using Django, Plotly, and Django templating language. However, an upgrade was recently requested which made me tend to re-develop the application from the ground up. A pivotal aspect of the app is Authentication and Authorization system since the data are confidential and only authorized personnel should be allowed…

– Source: dev.to
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over 2 years ago

Plotly

The Plotly library is an online platform for data visualization and it can be used in making interactive plots that are not possible using other Python libraries. Few such plots include dendrograms, contour plots, and 3D charts. Other than these graphics, some basic visualization graphs such as area charts, bar charts, box plots, histograms, polar charts, and bubble charts can also be created using the…

– Source: dev.to
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over 2 years ago

Plotly | Full-time | REMOTE, (CA or US) | https://plotly.com/ Looking for a senior backend engineer. We’re building Dash Enterprise, a web app that lets data scientists quickly and easily spin up and scale data science and ML apps. We do this using Kubernetes. Cool, right? * You won’t work overtime.

– Source: Hacker News
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almost 3 years ago

Curran Kelleher’s Data Visualization With React and D3 is probably the most comprehensive course on D3 on the Internet. For some time I have been curious about D3 and data visualization in general. While I have worked with Python libraries like Matplotlib , Seaborn and Plotly and they are fantastic for most kinds of exploratory and scientifc plots they have limitations on the web particularly in terms of…

– Source: dev.to
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almost 3 years ago

Then came seaborn and plotly, which can make stunning visualizations in Python with just a few commands… a giant leap again.

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about 3 years ago

Plotly? I don’t think neither Django nor Flask are akin to Shiny. Not saying it’s not possible, just that imo it’s not really a direct comparison.

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about 3 years ago

Use plotly. Its a commonly used library for producing interactive plots.

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about 3 years ago