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features
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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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

3LC
Amazon SageMaker Data Wrangler
ApertureDB
Avanzai
Cleanlab
Codédex
Coiled
Daft
DagsHub
Dagster
Flower
Flyte
Giskard
MLJAR Studio
OrcaSheets
Sliq
TeamStation
Train in Data
Yandex Data Proc

Integrations

3LC
Amazon SageMaker Data Wrangler
ApertureDB
Avanzai
Cleanlab
Codédex
Coiled
Daft
DagsHub
Dagster
Flower
Flyte
Giskard
MLJAR Studio
OrcaSheets
Sliq
TeamStation
Train in Data
Yandex Data Proc

Pricing Details

$395 one-time payment
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

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
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization

Product Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

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