Glassdoor
indeed
LinkedIn
Monster.com
ZipRecruiter
CareerBuilder
Remote OK
Dice.com
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Glassdoor PlotlyGlassdoor is recommended for job seekers, current employees looking to compare industries or assess company-specific insights, and employers interested in gaining a better understanding of their reputation and employee satisfaction. It is also useful for HR professionals and recruiters who want to benchmark their companies against industry standards.
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.
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I use Glassdoor mostly to check out companies before applying or interviewing, and itโs helpful to see real peopleโs experiences with culture, pay, interviews, and management. Being able to compare salaries across roles and locations adds valuable context when negotiating or choosing between offers.
That said, the quality of reviews varies a lot โ some are detailed and insightful, while others feel vague or possibly biased. A few companies barely have enough reviews to make a solid judgment, which limits usefulness. And if your priority is finding the biggest, freshest list of jobs, other sites like Indeed or LinkedIn usually have more options.
Overall, Glassdoor is useful for researching employers and compensation, but itโs not always the most reliable standalone job platform
Based on our record, Plotly seems to be more popular. It has been mentiond 34 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.
Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 4 months ago
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 / over 1 year 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 / over 1 year 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 / over 1 year 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 / about 2 years ago
indeed - Find jobs using Indeed, the most comprehensive search engine for jobs.
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.
LinkedIn - LinkedIn is a business-oriented social networking service, mainly used for professional networking.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Monster.com - Monster.com is one of the largest employment websites and job search engine in the world.
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.
