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What is statistiXL?

statistiXL serves as a powerful data analysis tool that operates as an add-in for Microsoft Excel specifically on Windows systems. Created by a team of scientists, it addresses the complex needs of users who require a versatile and thorough statistical analysis tool that remains easy to use and quick to learn. With statistiXL, users are able to concentrate on generating results without the burden of poring over extensive manuals to perform the necessary analyses. The robust features of Excel make it an ideal environment for data input, processing, and calculations. By leveraging this well-known interface, statistiXL greatly expands Excel's functionality to incorporate advanced statistical analysis, thereby eliminating the need for users to familiarize themselves with an entirely different software program. This seamless integration not only conserves valuable time but also enhances productivity, establishing it as an essential asset for both researchers and data analysts. As a result, statistiXL empowers users to focus on their analysis with greater confidence and precision.

What is ChartSays?

ChartSays is a web-based platform focused on statistical analysis, catering specifically to Six Sigma practices, quality engineering, and business analytics. It provides an array of methods for evaluating process capability, which includes metrics such as Cp, Cpk, Pp, and Ppk, alongside tools for creating control charts, performing Gage R&R and measurement system evaluations, designing experiments, executing regression analyses, conducting ANOVA, testing hypotheses, and assessing reliability. Users can conveniently upload data files in various formats such as CSV, XLSX, TSV, or TXT into a versatile workspace where they can explore visual representations of data, assess statistical results, and generate downloadable reports. Moreover, it offers free calculators for Cpk, I-MR control charts, and Gage R&R that are accessible without any user registration required. This platform is meticulously designed for quality engineers, Six Sigma practitioners, consultants, and analysts across the manufacturing and business landscapes who are in search of efficient statistical methods for process evaluation, quality enhancement, and business analysis, all without relying on conventional desktop software. Additionally, ChartSays simplifies the analytical workflow, ensuring it is user-friendly for professionals who value both effectiveness and simplicity in their statistical tasks. This emphasis on accessibility makes it an appealing choice for those who may be new to statistical analysis or who seek to improve their current processes swiftly.

Media

Media

No images available

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

$40 per year

Pricing Information

$14.90/month
The free plan costs $0 and includes unlimited standard analyses and watermarked report exports; AI analysis and interpretation are not included. The monthly plan costs $14.90/month, and the annual plan costs $129/year. Paid plans include AI analysis and interpretation, remove watermarks from charts and new report exports, and include 300 AI uses per month. Subscriptions renew automatically; data is retained for up to 90 days.
Free Version

Supported Platforms

Windows

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

statistiXL

Company Website

www.statistixl.com

Company Facts

Organization Name

Suzhou Jingye New Management Consulting Co., Ltd.

Date Founded

2026

Company Location

China

Company Website

chartsays.com

Categories and Features

Statistical Analysis

Analytics
Association Discovery
Compliance Tracking
File Storage
Multivariate Analysis
Regression Analysis
Statistical Simulation

Categories and Features

Statistical Analysis

Not specified

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