20 Plotly Interview Questions and Answers

Plotly is a data visualization company that creates online tools for graphing, analyzing, and collaborating on data. As a data visualization tool, Plotly is used by developers, analysts, and data scientists to make interactive, shareable graphs and charts. If you’re interviewing for a position that involves data visualization, it’s likely you’ll be asked questions about Plotly. In this article, we review some of the most common Plotly interview questions and how you should answer them.

Plotly Interview Questions and Answers

Here are 20 commonly asked Plotly interview questions and answers to prepare you for your interview:

1. What is Plotly?

Plotly is a graphing library for creating interactive, publication-quality graphs online.

2. How do you get started with Plotly?

The first step is to sign up for a free Plotly account. Once you have done that, you can then create your first Plotly graph by clicking the “New Plot” button on the left-hand side of the screen. This will open up a blank graph template that you can then start customizing to your liking. To add data to your graph, simply click on the “Add Data” button and select the data that you want to use. Once you have your data in, you can start customizing your graph by changing the various settings and options.

3. Can you explain the difference between Plotly and D3?

D3 is a JavaScript library for creating data visualizations, while Plotly is a graphing and analytics platform that can use D3 to create interactive and responsive visualizations. Plotly provides a higher-level interface than D3, making it easier to create complex visualizations with less code.

4. What are some common use cases for Plotly?

Plotly is a graphing library that is commonly used for creating interactive visualizations. Some common use cases for Plotly include creating line graphs, bar charts, scatter plots, and histograms.

5. What are some of the main features offered by Plotly?

Plotly is a graphing library that offers a number of features, including:

-The ability to create interactive, web-based graphs
-A wide variety of graph types available
-The ability to share graphs online
-The ability to export graphs to a number of different formats

6. Is it possible to create a plot using Python, R, or JavaScript? If yes, why would you choose one language over another?

Yes, it is possible to create a plot using any of these three languages. The language you choose would likely depend on your personal preferences or the specific requirements of the project you are working on. Python is generally considered to be a versatile language that is easy to learn, while R is more specialized for statistical analysis and data visualization. JavaScript is commonly used for web development, so it may be a good choice if you are looking to create an interactive plot that can be embedded in a website.

7. What does Plotly offer that other data visualization libraries don’t?

Plotly is unique in that it offers online graphing and data analysis, as well as the ability to easily share your graphs and data online. Other data visualization libraries may offer some of these features, but Plotly makes it easy and user-friendly.

8. What are some best practices for creating charts in Plotly?

Some best practices for creating charts in Plotly include choosing the right type of chart for your data, adding a title and axis labels, and adding a legend. You also want to make sure that your data is organized in a way that makes sense, and that your chart is easy to read and understand.

9. When should we use Plotly instead of Seaborn?

Seaborn is a statistical plotting library, and therefore is best suited for plotting data that can be aggregated and summarized. Plotly, on the other hand, is a graphing library that is geared towards creating interactive, web-based plots. Therefore, if you want to create a plot that can be explored and manipulated by the user, Plotly is the better choice.

10. What makes Plotly different from Excel or Tableau?

Plotly is a web-based graphing tool that allows you to create interactive, publication-quality graphs. Excel and Tableau are both desktop-based graphing tools. Plotly is different from Excel and Tableau in that it is web-based, which makes it easier to share your graphs with others, and it also has a more user-friendly interface.

11. Can you give me an example of how Plotly can be used to visualize time-series data?

Plotly can be used to visualize time-series data in a number of ways. One way is to use the line plot type to plot the data points over time. This will give you a basic idea of how the data changes over time. Another way is to use the scatter plot type to plot the data points. This will give you a more detailed view of how the data changes over time.

12. What are some limitations of Plotly?

While Plotly is a powerful tool, it does have some limitations. One such limitation is that it can be difficult to share plots created in Plotly, since they are hosted on the Plotly website. Additionally, Plotly is not as widely used as some other data visualization tools, so there may be a learning curve for those who are not already familiar with it.

13. Does Plotly support big data?

Yes, Plotly supports big data.

14. What’s the significance of x0, y0, dx, dy, angle, color, alpha, align, and font size parameters in Plotly?

The x0, y0, dx, and dy parameters determine the position of the text on the plot. The angle parameter determines the angle at which the text is rotated. The color, alpha, align, and font size parameters determine the appearance of the text.

15. What types of plots can be created using Plotly?

Plotly is a graphing library that allows you to create a variety of different types of plots, including line graphs, bar charts, scatter plots, and more.

16. What is the difference between express and graph_objects in Plotly?

Express is a high-level interface that allows you to quickly create common charts with minimal code. Graph_objects is a lower-level interface that gives you more control over the appearance and behavior of your plots.

17. How important is it to know JavaScript if I want to work with Plotly?

While it is not necessary to be a JavaScript expert to work with Plotly, it is helpful to have at least a basic understanding of the language. This is because Plotly is a JavaScript library, and thus understanding how JavaScript works will make working with Plotly much easier.

18. Where can I find datasets that I can use on my own computer to practice working with Plotly?

You can find datasets to use with Plotly on the Plotly website under the “Datasets” tab. There are a variety of datasets available, and you can filter them by topic, source, or format.

19. What is your opinion about the future of Plotly?

I believe that Plotly has a lot of potential. It is a powerful tool for data visualization and has a lot of features that make it unique. I think that it has a lot of potential to grow and become even more popular in the future.

20. What is the difference between Plotly and Matplotlib?

Plotly is a newer library that is built on top of Matplotlib. It offers some additional features, such as interactivity and online plotting, that Matplotlib does not.