Software Alternatives, Accelerators & Startups

R Lang VS Rons CSV Editor

Compare R Lang VS Rons CSV Editor and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

R Lang logo R Lang

R is a free software environment for statistical computing and graphics.

Rons CSV Editor logo Rons CSV Editor

Rons CSV Editor / Now Rons Data Edit
  • R Lang Landing page
    Landing page //
    2019-10-24
  • Rons CSV Editor Data Summary
    Data Summary //
    2024-04-11
  • Rons CSV Editor Main Window
    Main Window //
    2024-04-11
  • Rons CSV Editor The ToolBox
    The ToolBox //
    2024-04-11
  • Rons CSV Editor Rons Data Edit (Formerly Rons CSV Editor)
    Rons Data Edit (Formerly Rons CSV Editor) //
    2024-04-11
  • Rons CSV Editor Main Window - Dark Mode
    Main Window - Dark Mode //
    2024-04-11
  • Rons CSV Editor Edit Window
    Edit Window //
    2024-04-11
  • Rons CSV Editor Page Per Row
    Page Per Row //
    2024-04-11
  • Rons CSV Editor Column Split
    Column Split //
    2024-04-11
  • Rons CSV Editor Remove Duplicates
    Remove Duplicates //
    2024-04-11

Professional CSV File Editor to edit, view and read, sort and clean, and convert all your data in no time. Rons CSV Editor has now been replaced by Rons Data Edit -> https://www.ronsplace.ca/Products/RonsDataEdit .

Rons CSV Editor

$ Details
freemium $40.0 / One-off (Lite FREE version available)
Platforms
Windows
Release Date
2013 March

R Lang features and specs

  • Comprehensive Statistical Analysis
    R is specifically designed for statistical analysis and data visualization. It offers a wide array of statistical tests, models, and other quantitative techniques.
  • Extensive Package Ecosystem
    The Comprehensive R Archive Network (CRAN) hosts thousands of packages, making it easy to extend the language’s capabilities with specialized tools and libraries.
  • Data Visualization
    R excels at producing high-quality plots and charts through packages like ggplot2 and lattice, providing powerful tools for data visualization.
  • Strong Community Support
    R has a large and active user community that contributes to forums, documentation, and packages, facilitating easier troubleshooting and knowledge sharing.
  • Open Source
    R is open-source, meaning it is free to use and has a high level of transparency. Users can inspect, modify, and enhance the source code.

Possible disadvantages of R Lang

  • Memory Consumption
    R can consume a significant amount of memory, particularly with large datasets, which can lead to performance issues.
  • Learning Curve
    R has a steep learning curve for beginners, especially for those without a strong background in statistics or programming.
  • Speed
    R is interpreted and can be slower than compiled languages like C++ or Java, especially for computationally-intensive tasks.
  • Less Optimal for General-Purpose Programming
    Although R excels at statistical computing, it is less suited for general-purpose programming tasks compared to languages like Python or Java.
  • Inconsistent Function Names and Syntax
    Because R's packages are often developed independently, there can be inconsistencies in function names and syntax, making it harder for users to seamlessly work across different packages.

Rons CSV Editor features and specs

  • Loads any tabular text format
  • Quick and easy load of large files
  • Standard and enhanced editing functions
  • Flexible export capabilities
  • Split and merge
  • Remove duplicate and empty rows
  • Filter and Summarize

Analysis of R Lang

Overall verdict

  • Yes, R is a good choice, especially for those who need to perform complex statistical analyses and create high-quality visualizations. Its extensive ecosystem of packages and support for a variety of data formats make it a versatile tool in data science.

Why this product is good

  • R is highly regarded for its capabilities in statistical analysis and data visualization. It is an open-source programming language that offers a vast array of packages and libraries designed for data analysis, making it a powerful tool for statisticians and data scientists. Its community is active and continuously contributes to its development, ensuring that it stays updated with the latest methods in data analysis.

Recommended for

  • Statisticians who need robust tools for performing detailed data analysis.
  • Data scientists looking for comprehensive libraries for data manipulation and visualization.
  • Researchers who need to perform statistical tests and model implementation.
  • Academics and educators who teach statistics and data analysis.

Analysis of Rons CSV Editor

Overall verdict

  • Yes, Rons CSV Editor is considered a good tool.

Why this product is good

  • Rons CSV Editor is praised for its user-friendly interface, powerful features, and flexibility in handling various CSV file tasks. It allows users to easily edit, clean, and convert CSV files, making it a popular choice for both beginners and professionals. The software supports complex data manipulation and has advanced filtering and parsing capabilities.

Recommended for

    Rons CSV Editor is highly recommended for data analysts, researchers, and anyone who frequently works with CSV files. It's particularly well-suited for those who need to process large datasets and prefer a desktop application with a wide range of functionalities.

Category Popularity

0-100% (relative to R Lang and Rons CSV Editor)
Technical Computing
100 100%
0% 0
CSV Editors
0 0%
100% 100
Numerical Computation
100 100%
0% 0
Office & Productivity
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, R Lang seems to be more popular. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

R Lang mentions (5)

  • How to generate a great website and reference manual for your R package
    Generating a website for your R package is always a great idea. If the package is based on some paper, it will help it get noticed and eventually used. And once you have a website, it's just as well to include a reference manual for the package in it, that complements or is a bit more updated than the one published in CRAN. Or simply in another format. - Source: dev.to / about 1 year ago
  • R
    This package is definitely related to R language) (see package URL, it points to r-project.org subdomain). Source: almost 3 years ago
  • Rr
    Common misconception. Actually it's a Fibonacci sequence, so the next one is https://rrrrr-project.org. This does also mean that there's https://-project.org, and that https://r-project.org secretly disambiguates into two different projects. - Source: Hacker News / about 3 years ago
  • Rr
    We already have https://r-project.org. Now we have https://rr-project.org. So, https://rrr-project.org is next? - Source: Hacker News / about 3 years ago
  • r-project.org is down?
    Thank you, but unfortunately, the archive I'm talking about is the archive of old package versions, which seems to only be available through r-project.org. Source: about 3 years ago

Rons CSV Editor mentions (0)

We have not tracked any mentions of Rons CSV Editor yet. Tracking of Rons CSV Editor recommendations started around Mar 2021.

What are some alternatives?

When comparing R Lang and Rons CSV Editor, you can also consider the following products

C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation

Modern CSV - A CSV editor/viewer

Go Programming Language - Go, also called golang, is a programming language initially developed at Google in 2007 by Robert...

CSVpad - CSVpad is a handy free CSV (Comma-separated values) editor.

D (Programming Language) - D is a language with C-like syntax and static typing.

ReCsvEditor - Csv / Tsv / Delimited file editor. Supports for very large Files.