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Plotly VS IBM SPSS Statistics

Compare Plotly VS IBM SPSS Statistics and see what are their differences

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Plotly logo Plotly

Low-Code Data Apps

IBM SPSS Statistics logo IBM SPSS Statistics

IBM SPSS Statistics is software that provides detailed analysis of statistical data. The company behind the product practically needs no introduction, as it's been a staple of the technology industry for over 100 years.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • IBM SPSS Statistics Landing page
    Landing page //
    2023-09-16

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.

IBM SPSS Statistics features and specs

  • Comprehensive Statistical Analysis
    IBM SPSS Statistics offers a wide range of statistical tests and procedures, allowing users to perform in-depth data analysis and draw meaningful conclusions from their data.
  • User-Friendly Interface
    The software provides an intuitive and easy-to-navigate interface, making it accessible to both novice and experienced users without requiring extensive training.
  • Data Management Capabilities
    SPSS allows for efficient data management, including data cleaning, transformation, and manipulation, which helps in preparing data for analysis.
  • Advanced Graphical Tools
    The software includes advanced graphical tools for visualizing data, enabling users to create informative and visually appealing charts and graphs.
  • Integration with Other Software
    SPSS integrates well with other software and platforms such as Microsoft Excel, ensuring seamless data import and export, as well as compatibility with other analytical tools.
  • Extensive Documentation and Support
    IBM provides comprehensive documentation, tutorials, and customer support, making it easier for users to troubleshoot issues and get the most out of the software.

Possible disadvantages of IBM SPSS Statistics

  • High Cost
    IBM SPSS Statistics can be expensive, particularly for small businesses or individual users, as it requires the purchase of licenses and potential additional costs for modules.
  • Steep Learning Curve for Advanced Features
    While the basic interface is user-friendly, mastering the advanced features and functionalities can be challenging and may require significant time and effort.
  • Resource Intensive
    The software can be resource-intensive, requiring a powerful computer system with significant processing power and memory to run efficiently, especially with large datasets.
  • Limited Customization
    Compared to other statistical software like R or Python, SPSS offers limited customization options and flexibility in terms of scripting and automation.
  • Periodic Updates Required
    Frequent updates may be necessary to keep the software current, which can be time-consuming and may require additional costs for obtaining the latest versions.
  • Data Security Concerns
    Handling sensitive data within SPSS requires stringent security measures, and any data breaches or mishandling could result in significant consequences.

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.

Analysis of IBM SPSS Statistics

Overall verdict

  • Yes, IBM SPSS Statistics is generally considered a good statistical software package.

Why this product is good

  • User friendly
    It has an intuitive interface which makes it accessible to both beginners and advanced users.
  • Robust support
    IBM offers extensive support and documentation, making it easier to troubleshoot issues or learn new features.
  • Reliable results
    It is widely used in academia and industry for its accuracy and reliability in data analysis.
  • Comprehensive features
    SPSS provides a wide range of statistical tests, data management tools, and output features.

Recommended for

  • Researchers needing to perform complex statistical analyses
  • Students studying statistics who require an intuitive interface
  • Data analysts in organizations needing to convert data into actionable insights
  • Academics looking for reliable and well-supported statistical software
  • Market researchers conducting quantitative analysis

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

IBM SPSS Statistics videos

+ Add

IBM SPSS Statistics Overview

More videos:

  • Review - What's new in IBM SPSS Statistics 26

Category Popularity

0-100% (relative to Plotly and IBM SPSS Statistics)

Plotly

IBM SPSS Statistics

Data Visualization
100 100%
Data Visualization
0% 0
Technical Computing
0 0%
Technical Computing
100% 100
Data Dashboard
69 69%
Data Dashboard
31% 31
Charting Libraries
100 100%
Charting Libraries
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Plotly and IBM SPSS Statistics

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

IBM SPSS Statistics Reviews

Top 7 Predictive Analytics Tools
IBM SPSS Statistics is a popular predictive analytics tool. It offers a user-friendly interface and a strong set of features including the SPSS modeler, which provides advanced statistical procedures, helps ensure precision, and provides positive decision-making. All of the analytics lifecycle features are included, such as data preparation and management to analysis and...
Source: www.datamation.com
Top 10 Free Statistical Analysis Software 2023
IBM SPSS Statistics is a popular statistical software package that is widely used in academia, research, and industry for data analysis, reporting, and visualization. Some of the key features of IBM SPSS Statistics include:
Source: fellowshipbard.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.

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 / 2 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 / 4 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 / 6 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 / 12 months 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

IBM SPSS Statistics mentions (0)

We have not tracked any mentions of IBM SPSS Statistics yet. Tracking of IBM SPSS Statistics recommendations started around Mar 2021.

What are some alternatives?

When comparing Plotly and IBM SPSS Statistics, you can also consider the following products

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.

RStudio - RStudio™ is a new integrated development environment (IDE) for R.

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

Stata - Stata is a software that combines hundreds of different statistical tools into one user interface. Everything from data management to statistical analysis to publication-quality graphics is supported by Stata. Read more about Stata.

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

JMP - JMP is a data representation tool that empowers the engineers, mathematicians and scientists to explore the any of data visually.

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