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What is editCSVonline?

editCSVonline is an intuitive web application that allows users to modify CSV files directly in their web browsers, eliminating the need for any software downloads. It leverages DataGridXL, a fast and agile Vanilla JavaScript library tailored for data tables, to create a spreadsheet-like interface that simplifies data handling. Users can easily upload CSV files from their computers or paste the CSV text into the application. To enhance the editing experience, it incorporates various keyboard shortcuts aimed at improving productivity, including functions for cutting, copying, and pasting, as well as commands for selecting, navigating, and undoing/redoing changes. The platform supports standard navigation keys, enabling users to traverse with arrow keys and edit cells by tapping 'Enter.' Its user-friendly design is suitable for individuals with varying levels of technical expertise, making it accessible to a broad audience. Offered as a free service by Vanilla Components, editCSVonline enables users to manage their CSV data efficiently without the challenges often linked to more complex software solutions. With a focus on user-friendliness and functionality, the platform stands out as an optimal choice for anyone seeking a hassle-free method to organize their data effectively. Overall, editCSVonline represents a modern solution to CSV editing needs, ensuring that tasks can be completed with minimal effort and maximum efficiency.

What is Tosmana?

Tosmana acts as an essential resource for performing Qualitative Comparative Analysis (QCA). This software facilitates both csQCA (Crisp-Set Qualitative Comparative Analysis) and mvQCA (Multi-Value QCA) evaluations. For more comprehensive insights on QCA, you can check the website of Charles Ragin along with the COMPASSS Research Group. The software's development commenced in 2000, and after a hiatus, its version 1.4 was released in June 2016, marking a significant resurgence in its evolution. Additionally, a complete redesign of the website occurred in the same month. Users can easily transfer data into TOSMANA by copying it directly from a spreadsheet application. To do this, simply open your dataset in the spreadsheet program, select the relevant data cells along with the variable names in the first row, and copy them. In TOSMANA, you can then go to File>Import from Clipboard to import the data, which will overwrite any existing information in the software. After successfully completing the import process, it is crucial to save your file in the correct format to maintain data integrity. This streamlined approach not only simplifies data management but also significantly improves the overall experience for users. Furthermore, the ability to easily import data can save time and reduce errors in analysis.

Media

Media

Integrations Supported

Google Sheets
JavaScript
Microsoft Excel

Integrations Supported

Google Sheets
JavaScript
Microsoft Excel

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

editCSVonline

Company Location

The Netherlands

Company Website

editcsvonline.com

Company Facts

Organization Name

Lasse Cronqvist

Company Location

Germany

Company Website

www.tosmana.net

Categories and Features

Categories and Features

Qualitative Data Analysis

Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis

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