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IBM SPSS Statistics VS Pandas

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

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LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
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  3. » Reviews
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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.

Pandas logo Pandas

Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
  • IBM SPSS Statistics Landing page
    Landing page //
    2023-09-16
  • Pandas Landing page
    Landing page //
    2023-05-12

IBM SPSS Statistics videos

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IBM SPSS Statistics Overview

More videos:

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

Pandas videos

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Ozzy Man Reviews: Pandas

More videos:

  • Review - Ozzy Man Reviews: PANDAS Part 2
  • Review - Trash Pandas Review with Sam Healey

Category Popularity

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

IBM SPSS Statistics

Pandas

Technical Computing
100 100%
Technical Computing
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Data Dashboard
50 50%
Data Dashboard
50% 50
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using IBM SPSS Statistics and Pandas. For example, how are they different and which one is better?
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Reviews

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

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

Pandas Reviews

25 Python Frameworks to Master
Pandas is a powerful and flexible open-source library used to perform data analysis in Python. It provides high-performance data structures (i.e., the famous DataFrame) and data analysis tools that make it easy to work with structured data.
Source: kinsta.com
Python & ETL 2020: A List and Comparison of the Top Python ETL Tools
When it comes to ETL, you can do almost anything with Pandas if you're willing to put in the time. Plus, pandas is extraordinarily easy to run. You can set up a simple script to load data from a Postgre table, transform and clean that data, and then write that data to another Postgre table.
Source: www.xplenty.com

Social recommendations and mentions

Based on our record, Pandas seems to be more popular. It has been mentiond 196 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.

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.

Pandas mentions (196)

  • Deploying a Serverless Dash App with AWS SAM and Lambda
    Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail.... - Source: dev.to / about 2 months ago
  • Stuff I Learned during Hanukkah of Data 2023
    Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts. - Source: dev.to / 4 months ago
  • Exploring Open-Source Alternatives to Landing AI for Robust MLOps
    Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / 4 months ago
  • Mastering Pandas read_csv() with Examples - A Tutorial by Codes With Pankaj
    Pandas, a powerful data manipulation library in Python, has become an essential tool for data scientists and analysts. One of its key functions is read_csv(), which allows users to read data from CSV (Comma-Separated Values) files into a Pandas DataFrame. In this tutorial, brought to you by CodesWithPankaj.com, we will explore the intricacies of read_csv() with clear examples to help you harness its full potential. - Source: dev.to / 5 months ago
  • What Would Go in Your Dream Documentation Solution?
    So, what I'd like to do is write a documentation package in Python to recreate what I've lost. I plan to build upon the fantastic python-docx and docxtpl packages, and I'll probably rely on pandas from much of the tabular stuff. Here are the features I intend to include:. Source: 5 months ago
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What are some alternatives?

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

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

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

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.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

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

OpenCV - OpenCV is the world's biggest computer vision library

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