Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Integrations
Anaconda
No
Python
No
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