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Description
CSols AqcTools™ v2.6 enables users to efficiently visualize Analytical Quality Control (AQC) charts for tracking laboratory performance, facilitates thorough, paperless investigations of control limit breaches, generates detailed reports, and significantly shortens the time required to evaluate and manage QC data. This tool is particularly advantageous for clients in sectors like water, environmental science, public health, and industrial labs engaged in chemical, clinical, and microbiological analyses. AqcTools offers a variety of ‘dynamic, interactive’ charts, ranging from standard ‘individual plotted AQC points’ to charts that can present batch or daily averages for both present and historical datasets. Furthermore, it allows users to create charts for specific analysts, aiding labs in their ongoing evaluation of analyst competence. Moreover, all pertinent information related to each individual data point, such as date, batch number, analyst, and instrument, can be accessed with just a single click, enhancing overall usability and efficiency. This means that users can have a comprehensive view of their data without unnecessary delays.
Description
CoPlot Version 6.45 is a highly adaptable software tool designed for generating top-notch 2D and 3D scientific visualizations, which include data plots, equations, maps, and various technical illustrations. The program's development is centered on a singular objective: to create a resource that empowers scientists and engineers to achieve their precise graphical needs with ease. Additionally, CoPlot integrates CoStat for effective data management and statistical analysis. Users can produce detailed technical illustrations using a wide array of drawing tools provided by CoPlot. Its capabilities make it suitable for crafting genetic maps, field maps, flow charts, apparatus schematics, circuit diagrams, chemical structures, and much more. The program supports drawing objects and graphs with the ability to incorporate HTML-like text formatting tags and over 1,000 special characters, enhancing the visual appeal of the scientific outputs. With CoPlot, users can create outstanding scientific graphs and maps, utilizing seven fundamental graph types, more than 40 plotting methods for data, 18 different ways to represent equations, flexible attributes for customization, asymmetric and horizontal error bars, and 12 distinct axis types, ensuring a comprehensive suite for all graphical needs. This extensive range of options makes CoPlot a valuable asset for anyone looking to present data visually in a professional and effective manner.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$280 one-time payment
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
CSols
Founded
2001
Country
United States
Website
www.csols.com/wordpress/aqctools-v2-6-product-release/
Vendor Details
Company Name
CoHort Software
Website
www.cohortsoftware.com/coplot.html
Product Features
Quality Management
Audit Management
Complaint Management
Compliance Management
Corrective and Preventive Actions (CAPA)
Defect Tracking
Document Control
Equipment Management
ISO Standards Management
Maintenance Management
Risk Management
Supplier Quality Control
Training Management
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