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Microsoft Office Excel VS Plotly

Compare Microsoft Office Excel VS Plotly and see what are their differences

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Microsoft Office Excel logo Microsoft Office Excel

Microsoft Office Excel is a commercial spreadsheet application.

Plotly logo Plotly

Low-Code Data Apps
  • Microsoft Office Excel Landing page
    Landing page //
    2023-04-21
  • Plotly Landing page
    Landing page //
    2023-07-31

Microsoft Office Excel features and specs

  • Comprehensive Features
    Excel offers extensive functionalities such as pivot tables, advanced charting, macros, and formulas, making it a powerful tool for data analysis and visualization.
  • User-Friendly Interface
    Excel has an intuitive interface with easy-to-navigate menus and commands, which makes it accessible for both beginners and advanced users.
  • High Compatibility
    Excel files can be easily shared and accessed across different devices and platforms, ensuring compatibility with other Microsoft Office products and third-party software.
  • Strong Community and Support
    A large online community, extensive documentation, and professional support from Microsoft ensure users can find help and resources quickly.
  • Regular Updates
    Microsoft frequently releases updates that add new features, improve performance, and enhance security, ensuring the tool remains up-to-date with user needs.

Possible disadvantages of Microsoft Office Excel

  • Cost
    Excel requires a subscription to Microsoft Office 365 or a one-time purchase of Office Suite, which can be expensive for individual users or small businesses.
  • Resource Intensive
    Large datasets and complex calculations can cause Excel to become slow and consume significant system resources, impacting overall computer performance.
  • Learning Curve
    While basic functionalities are accessible, mastering Excel's more advanced features requires substantial time and effort, posing a challenge for new users.
  • Limited Collaboration Features
    Despite improvements, Excel's real-time collaboration features can lag behind those of dedicated collaborative tools like Google Sheets, especially when multiple users are editing a document simultaneously.
  • Error-Prone
    User errors, such as incorrect formulas or misentered data, can lead to significant issues in data accuracy and analysis, necessitating diligent review and oversight.

Plotly features and specs

  • Interactivity
    Plotly offers highly interactive plots that allow users to pan, zoom, and hover over data points for more information. This enhances the user experience and provides deeper insights.
  • High-quality visualizations
    It provides aesthetically pleasing and highly customizable charts, making it suitable for publication-quality visuals.
  • Versatility
    Plotly supports multiple chart types including line charts, scatter plots, bar charts, and 3D plots, making it suitable for a wide range of applications.
  • Python integration
    Plotly is well-integrated with Python and works seamlessly with other popular data science libraries like Pandas, NumPy, and Scikit-learn.
  • Web-based
    The plots can be easily embedded in web applications or dashboards, making it ideal for sharing insights over the internet.
  • Open-source
    Plotly offers an open-source version, which allows users to create and share visualizations without any cost.

Possible disadvantages of Plotly

  • Performance
    Rendering very large datasets can sometimes be slow, which may not be suitable for real-time data visualization requirements.
  • Learning curve
    Even though the library is well-documented, the extensive range of features can have a steep learning curve for beginners.
  • Cost for advanced features
    While the basic functionality is free, more advanced features, such as export to certain formats and additional customizable options, require a paid subscription.
  • Dependency management
    Plotly has a number of dependencies that need to be managed properly, which can sometimes complicate the setup process.
  • Complexity
    For simple visualizations, Plotly might be overkill and simpler libraries like Matplotlib or Seaborn could be more appropriate.

Analysis of Microsoft Office Excel

Overall verdict

  • Yes, Microsoft Excel is generally considered a good tool given its extensive functionality and integration with other Microsoft Office products. It is particularly praised for its robust analytical capabilities and user-friendly interface.

Why this product is good

  • Microsoft Excel is a highly versatile and powerful spreadsheet software widely utilized for data analysis, financial modeling, and project management. It offers a vast array of functions and features like pivot tables, charting tools, and conditional formatting, making it invaluable for both basic and complex calculations.

Recommended for

  • Data analysts
  • Financial professionals
  • Project managers
  • Students and educators
  • Small business owners
  • Anyone needing to organize and analyze data

Analysis of Plotly

Overall verdict

  • Overall, Plotly is a strong choice for those looking to create dynamic and interactive data visualizations, thanks to its range of features and ease of integration with web technologies.

Why this product is good

  • Plotly is considered good because it offers a comprehensive suite of tools for creating interactive visualizations that can be used in web applications, reports, and dashboards. It supports many different types of plots, is easy to use for both beginners and experienced developers, and integrates well with popular programming languages like Python, R, and JavaScript.

Recommended for

    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.

Microsoft Office Excel videos

+ Add

Michael Net Worth

More videos:

  • Tutorial - How to use review tab(Microsoft Excel part-6)
  • Tutorial - How To Pass Microsoft Excel Test - Get ready for the Interview
  • Review - Microsoft Excel Review Tab All Option,Ms Excel के review Tab को जानिए हिंदी में,Ms excel Review Tab!

Plotly videos

+ Add

Create Real-time Chart with Javascript | Plotly.js Tutorial

More videos:

  • Review - Introducing plotly.py 3.0
  • Review - Is Plotly The Better Matplotlib?
  • Tutorial - Plotly Tutorial 2021
  • Review - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

Category Popularity

0-100% (relative to Microsoft Office Excel and Plotly)

Microsoft Office Excel

Plotly

Spreadsheets
100 100%
Spreadsheets
0% 0
Data Visualization
26 26%
Data Visualization
74% 74
Project Management
100 100%
Project Management
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Microsoft Office Excel and Plotly

Microsoft Office Excel Reviews

  1. amna123
    · content writter at content arcade ·
    Unleashing the Potential with Microsoft Office Excel

    A software program created by Microsoft that uses spreadsheets to organize numbers and data with formulas and functions. It is one of the best software for daily use Microsoft Office Excel has been an absolute game-changer for me in the realm of spreadsheet applications. Whether it's managing data, creating intricate formulas, or visualizing trends, Excel stands out as a powerhouse of functionality and efficiency.

    👍 Pros:    Database management
    👎 Cons:    Learning curve
  2. Rory
    · Entrepreneur at Konstrukt Planeringsverktyg ·
    Everyone loves to hate it, but it's the best!

    What would we do without Excel!? Sure, the online version isn't as simple as Google Sheets, they could have chosen not to localise the function names, and it's always chaos trying to consolidate multiple budget or forecast files & templates, but aside from that it's everyone's favourite spreadsheet. What you can't do in Excel isn't worth doing. Even if there's often a better way...

  3. Rosstaylor9855
    Reliable Software

    It is one of the best software for daily purpose.

11 Alternatives to QuickBooks in 2024
Tiller takes all of your information—your bank accounts, credit cards and investment accounts—and feeds them directly into a Microsoft Excel or Google Sheets file. From there, you can design your own spreadsheets to your own liking, or use one of Tiller’s pre-made templates. Tiller offers a 30-day trial here, and the full version costs $79/year.
Source: www.bench.co
Top 10 Data Analysis Tools in 2022
Microsoft Excel Microsoft Excel allows the direct addition of analog data from a picture to a fully editable format in Excel. Microsoft 365 Business Basic subscription costs $6/user/month. Microsoft Excel is a very efficient tool for small businesses in processing and conducting calculations on data. However, Excel is relatively old, which means limited features in terms of...
Source: www.spiceworks.com

Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]
Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.
Source: www.datapad.io
5 Best Python Libraries For Data Visualization in 2023
Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.
Source: www.technotification.com
Top 8 Python Libraries for Data Visualization
Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...
Source: www.geeksforgeeks.org
5 top picks for JavaScript chart libraries
Plotly is a graphing library that’s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.
Source: blog.logrocket.com

Social recommendations and mentions

Based on our record, Plotly seems to be more popular. It has been mentiond 33 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.

Microsoft Office Excel mentions (0)

We have not tracked any mentions of Microsoft Office Excel yet. Tracking of Microsoft Office Excel recommendations started around Mar 2021.

Plotly mentions (33)

  • Python for Data Visualization: Best Tools and Practices
    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 / 3 months ago
  • Generative AI Powered QnA & Visualization Chatbot
    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 / 5 months ago
  • Build a Stock Dashboard in less than 40 lines of Python code!🤓
    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 / 7 months ago
  • Essential Deep Learning Checklist: Best Practices Unveiled
    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 1 year ago
  • Python equivalent to power bi/power query?
    For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago
View more

What are some alternatives?

When comparing Microsoft Office Excel and Plotly, you can also consider the following products

Google Sheets - Synchronizing, online-based word processor, part of Google Drive.

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.

LibreOffice - Calc - LibreOffice Calc is the spreadsheet program you've always needed. A fork of OpenOffice.

Chart.js - Easy, object oriented client side graphs for designers and developers.

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.

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...

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