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features
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Description

Statwing was designed specifically for analysts, enabling you to swiftly clean data, uncover relationships, and generate charts in mere minutes rather than taking hours. This platform offers an unparalleled and enjoyable experience for working with data, even for those who are already proficient in spreadsheets, which include a majority of our users. When attempting to ask straightforward questions within spreadsheets, users often find themselves spending valuable time on data manipulation, crafting charts, pivot tables, and formulating complex calculations. Furthermore, when faced with large datasets, spreadsheets can significantly slow down or become unresponsive. Conventional statistical software, developed many years ago for statisticians, often necessitates a level of technical skill to pose even basic inquiries. In contrast, Statwing effectively addresses common data challenges, such as outliers, ensuring that your analyses are always reliable. Additionally, Statwing simplifies the interpretation of results by converting them into plain language, making it accessible for analysts who may not have a background in statistical methods, thus broadening its appeal and usability. This inclusive approach allows a wider range of users to harness the power of data analysis without the typical barriers associated with traditional tools.

Description

Statsmodels is a Python library designed for the estimation of various statistical models, enabling users to perform statistical tests and explore data effectively. Each estimator comes with a comprehensive array of result statistics, which are validated against established statistical software to ensure accuracy. This package is distributed under the open-source Modified BSD (3-clause) license, promoting free use and modification. Users can specify models using R-style formulas or utilize pandas DataFrames for convenience. To discover available results, you can check dir(results), and you will find that attributes are detailed in results.__doc__, while methods include their own docstrings for further guidance. Additionally, numpy arrays can be employed as an alternative to formulas. For most users, the simplest way to install statsmodels is through the Anaconda distribution, which caters to data analysis and scientific computing across various platforms. Overall, statsmodels serves as a powerful tool for statisticians and data analysts alike.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Anaconda No 
Python No 

Integrations

Anaconda Yes 
Python Yes 

Pricing Details

$50 per user per month
Free Trial Yes 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

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

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
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 Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

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

Vendor Details

Company Name

Statwing

Founded

2012

Country

United States

Website

www.statwing.com

Vendor Details

Company Name

statsmodels

Website

www.statsmodels.org/stable/index.html

Product Features

Statistical Analysis

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

Product Features

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