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Excel Dashboard School VS Matplotlib

Compare Excel Dashboard School VS Matplotlib and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Excel Dashboard School logo Excel Dashboard School

Free Excel add-ins and tools on Excel Dashboard School. Boost your work productivity and save your time! No trials, 100% power!

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Excel Dashboard School Landing page
    Landing page //
    2023-09-24

Text Tools and Smart Utilities! Text processing and string manipulations in Excel are not an easy tasks but weโ€™ll help you to simplify string related functions using our add-in.

Feature list:

  • Convert text to uppercase, apply Excel lowercase to your data or convert your text values to proper / title case
  • Delete first or last character from a selected string
  • Delete x characters starting at the nth position
  • Remove spaces, non-printable characters, all line breaks, initial apostrophes
  • Insert text before first, after last character
  • Insert text starting at nth position and much moreโ€ฆ.
  • Calendar. Quick dates entry to save your time.
  • Drop-down list creator: Create drop-down list in selected cells in seconds
  • Spreadsheet Tools โ€“ Effective management for Ranges
  • Data Collector: Consolidate Multiple Worksheets into one Workbook
  • Split Ranges: Split one data table into several different sheets based on the values of the specified column or other criteria.
  • Compare Ranges: Compare two columns or ranges and the output or highlighting of coincidences / differences between them.
  • Clean Ranges: Delete text, formats, notes, hyperlinks, conditional formatting, etc. in selected cells.
  • Screenshot Manager: Create screenshot of selected range and export it into various formats.
  • WorkSheet Manager
  • Perform vary operations (adding, sorting, protecting, etc.) on sheets in current workbook.
  • Matplotlib Landing page
    Landing page //
    2023-06-14

Excel Dashboard School features and specs

  • Comprehensive Learning Resources
    Excel Dashboard School provides a wide range of learning materials, including tutorials, templates, and examples, catering to different skill levels.
  • High-Quality Templates
    The site offers professionally designed templates that are ready to use, saving users time and ensuring a polished appearance.
  • Step-by-Step Tutorials
    Detailed, easy-to-follow tutorials help users build dashboards from scratch, making it easier for beginners to learn.
  • Regular Updates
    The platform frequently updates its content, ensuring users have access to the latest techniques and best practices in dashboard creation.
  • Community Support
    Excel Dashboard School has a community of users where members can share tips, ask questions, and offer support to each other.

Possible disadvantages of Excel Dashboard School

  • Cost
    Some of the resources and templates are behind a paywall, which may not be affordable for all users.
  • Complexity
    Even with tutorials, some users might find advanced dashboard features and functions quite complex and challenging to implement.
  • Limited Free Content
    Although there is free content available, it may be insufficient for users who need comprehensive or specific solutions without purchasing premium resources.
  • User Interface
    The website's interface and navigation could be more intuitive, potentially making it difficult for users to find specific resources or tutorials.
  • Excel Dependency
    Resources and tutorials are primarily focused on Microsoft Excel, limiting applicability for users who prefer or require alternative data analysis tools.

Matplotlib features and specs

  • Versatility
    Matplotlib can generate a wide variety of plots, ranging from simple line plots to complex 3D plots. This versatility makes it a go-to library for many scientific and technical visualizations.
  • Customization
    It offers extensive customization options for virtually every element of a plot, including colors, labels, line styles, and more, allowing users to tailor plots to meet specific needs.
  • Integrations
    Matplotlib integrates well with other Python libraries such as NumPy, Pandas, and SciPy, making it easier to plot data directly from these sources.
  • Community and Documentation
    It has a large, active community and comprehensive documentation that includes tutorials, examples, and detailed references, which can help users solve problems and improve their plot-making skills.
  • Interactivity
    Matplotlib supports interactive plots, which can be embedded in Jupyter notebooks and GUIs, allowing for dynamic data exploration and presentation.
  • Publication-Quality
    The library is capable of producing high-quality, publication-ready graphics that meet the stringent requirements of academic journals and professional presentations.

Possible disadvantages of Matplotlib

  • Complexity
    While Matplotlib offers extensive customization, it can be complex and sometimes unintuitive for beginners, requiring a steep learning curve to master all its functionality.
  • Performance
    Rendering a large number of plots or handling very large datasets can be slow, making Matplotlib less suitable for real-time data visualization.
  • Modern Aesthetics
    Out-of-the-box plots from Matplotlib can look somewhat dated compared to those from newer plotting libraries like Seaborn or Plotly, requiring additional customization to achieve a modern look.
  • 3D Plots
    Although Matplotlib supports 3D plotting, its capabilities are relatively limited and less sophisticated compared to specialized 3D plotting libraries.
  • Size and Structure
    The package is relatively large and can be slow to import. Its extensive structure can make finding specific functions and understanding the overall architecture challenging.

Analysis of Excel Dashboard School

Overall verdict

  • Excel Dashboard School is generally a good resource for learning how to create dashboards in Excel.

Why this product is good

  • It provides a variety of tutorials, templates, and step-by-step guides which are beneficial for both beginners and advanced users looking to enhance their skills in Excel dashboard creation. The resources are practical and focused on real-world scenarios, making it easier for learners to apply their knowledge effectively.

Recommended for

  • Business professionals who need to create detailed reports and dashboards regularly.
  • Data analysts who want to improve their report presentation using Excel.
  • Students seeking to improve their Excel skills for career advancement.
  • Anyone interested in learning how to communicate data insights more effectively through visual representations.

Analysis of Matplotlib

Overall verdict

  • Yes, Matplotlib is a good library for data visualization, particularly for users who require a versatile and powerful plotting solution in Python.

Why this product is good

  • Matplotlib is highly regarded due to its extensive customization options, versatility in creating a wide range of static, animated, and interactive plots, and its large user community and support. It integrates well with other scientific libraries in Python, making it a staple for data visualization. The library is also open-source and frequently updated, ensuring it remains a reliable choice for users.

Recommended for

  • Data scientists and analysts needing to create detailed, customized visual representations of their data.
  • Researchers and engineers looking for a comprehensive plotting library that supports scientific and engineering formats.
  • Python developers who require integration with other scientific computing libraries like NumPy and Pandas.

Excel Dashboard School videos

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Matplotlib videos

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Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Excel Dashboard School and Matplotlib)

Excel Dashboard School

Matplotlib

Data Dashboard
56 56%
Data Dashboard
44% 44
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Office & Productivity
100 100%
Office & Productivity
0% 0
Technical Computing
14 14%
Technical Computing
86% 86

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Excel Dashboard School and Matplotlib

Excel Dashboard School Reviews

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Matplotlib Reviews

25 Python Frameworks to Master
Matplotlib is a widely used tool for data visualization in Python. It provides an object-oriented API for embedding plots into applications.
Source: kinsta.com
5 Best Python Libraries For Data Visualization in 2023
You can use this library for multiple purposes such as generating plots, bar charts, histograms, power spectra, stemplots, pie charts, and more. The best thing about Matplotlib is you just have to write a few lines of code and it handles the rest by itself. Metaplotilib focuses on static images for publication along with interactive figures using toolkits like Qt and GTK.
Source: www.technotification.com
15 data science tools to consider using in 2021
Matplotlib is an open source Python plotting library that's used to read, import and visualize data in analytics applications. Data scientists and other users can create static, animated and interactive data visualizations with Matplotlib, using it in Python scripts, the Python and IPython shells, Jupyter Notebook, web application servers and various GUI toolkits.
Source: searchbusinessanalytics.techtarget.com
Top Python Libraries For Image Processing In 2021
Matplotlib is primarily used for 2D visualizations such as scatter plots, bar graphs, histograms, and many more, but we can also use it for image processing. It is effective to get information out of an image. It doesnโ€™t support all file formats.
Source: www.analyticsvidhya.com
Top 8 Python Libraries for Data Visualization
Matplotlib is a data visualization library and 2-D plotting library of Python It was initially released in 2003 and it is the most popular and widely-used plotting library in the Python community. It comes with an interactive environment across multiple platforms. Matplotlib can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application...
Source: www.geeksforgeeks.org

Social recommendations and mentions

Based on our record, Matplotlib seems to be more popular. It has been mentiond 114 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.

Excel Dashboard School mentions (0)

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

Matplotlib mentions (114)

  • The soul file
    In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ€” the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 4 months ago
  • How to Analyze CSV Files with Python and Pandas
    Numbers are useful, but sometimes itโ€™s easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 7 months ago
  • libmalloc, jemalloc, tcmalloc, mimalloc - Exploring Different Memory Allocators
    We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 8 months ago
  • Building an AI Scoring Agent: Step-By-Step
    NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago
  • Top 5 GitHub Repositories for Data Science in 2026
    The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโ€ฆ. - Source: dev.to / 10 months ago
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What are some alternatives?

When comparing Excel Dashboard School and Matplotlib, you can also consider the following products

Kutools for Excel - A handy Microsoft Excel add-ins collection to free you from time-consuming operations.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

KPI Dashboard in Excel - Professional Management KPI Dashboard. Includes trend charts, past year/target comparisons, monthly & cumulative analysis in performance dashboard.

NumPy - NumPy is the fundamental package for scientific computing with Python

AnyChart - Award-winning JavaScript charting library & Qlik Sense extensions from a global leader in data visualization! Loved by thousands of happy customers, including over 75% of Fortune 500 companies & over half of the top 1000 software vendors worldwide.

Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.

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