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Average Ratings 0 Ratings

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features
design
support

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Write a Review

Description

If you're a researcher seeking to analyze data without being an expert in statistics, Statistix is the perfect solution for you. You can get started in just a few minutes—no programming skills or manual reading required! This user-friendly software is designed to save you both time and resources. Offering a comprehensive suite of both fundamental and advanced statistical tools, Statistix provides everything you need in one cost-effective package. It features robust data manipulation capabilities, compatibility for importing and exporting Excel and text files, as well as an array of statistical methods such as linear models (including linear and logistic regression, Poisson regression, and ANOVA), nonlinear regression, nonparametric tests, time series analysis, association tests, survival analysis, quality control, power analysis, and much more. With Statistix, managing and analyzing your data becomes an accessible and efficient process.

Description

Pandas is an open-source data analysis and manipulation tool that is not only fast and powerful but also highly flexible and user-friendly, all within the Python programming ecosystem. It provides various tools for importing and exporting data across different formats, including CSV, text files, Microsoft Excel, SQL databases, and the efficient HDF5 format. With its intelligent data alignment capabilities and integrated management of missing values, users benefit from automatic label-based alignment during computations, which simplifies the process of organizing disordered data. The library features a robust group-by engine that allows for sophisticated aggregating and transforming operations, enabling users to easily perform split-apply-combine actions on their datasets. Additionally, pandas offers extensive time series functionality, including the ability to generate date ranges, convert frequencies, and apply moving window statistics, as well as manage date shifting and lagging. Users can even create custom time offsets tailored to specific domains and join time series data without the risk of losing any information. This comprehensive set of features makes pandas an essential tool for anyone working with data in Python.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

3LC No 
Cleanlab No 
Codédex No 
Coiled No 
DagsHub No 
Dagster No 
Dash No 
Flower No 
GLM-5.1 No 
GLM-5.2 No 
Kedro No 
LanceDB No 
Netdata No 
Sliq No 
Spyder No 
ThinkData Works No 
Yandex Data Proc No 
skills.ai No 

Integrations

3LC Yes 
Cleanlab Yes 
Codédex Yes 
Coiled Yes 
DagsHub Yes 
Dagster Yes 
Dash Yes 
Flower Yes 
GLM-5.1 Yes 
GLM-5.2 Yes 
Kedro Yes 
LanceDB Yes 
Netdata Yes 
Sliq Yes 
Spyder Yes 
ThinkData Works Yes 
Yandex Data Proc Yes 
skills.ai Yes 

Pricing Details

$395 one-time payment
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Analytical Software

Founded

1985

Country

United States

Website

www.statistix.com

Vendor Details

Company Name

pandas

Founded

2008

Website

pandas.pydata.org

Product Features

Statistical Analysis

Analytics Yes 
Association Discovery Yes 
Compliance Tracking Yes 
File Management Yes 
File Storage Yes 
Forecasting Yes 
Multivariate Analysis No 
Regression Analysis Yes 
Statistical Process Control Yes 
Statistical Simulation Yes 
Survival Analysis Yes 
Time Series Yes 
Visualization Yes 

Product Features

Data Analysis

Data Discovery No 
Data Visualization No 
High Volume Processing No 
Predictive Analytics No 
Regression Analysis No 
Sentiment Analysis No 
Statistical Modeling No 
Text Analytics No 

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