Software Alternatives & Reviews

Noblr VS Stata

Compare Noblr VS Stata and see what are their differences

Noblr logo Noblr

Get smart car insurance for smart drivers. Save money based on how and how much you drive. Get the coverage and customer care you deserve. Get a quote.

Stata logo Stata

Stata is a software that combines hundreds of different statistical tools into one user interface. Everything from data management to statistical analysis to publication-quality graphics is supported by Stata. Read more about Stata.
  • Noblr Landing page
    Landing page //
    2022-11-06
  • Stata Landing page
    Landing page //
    2023-09-27

Noblr videos

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Stata videos

What's it like–Getting started in Stata

More videos:

  • Review - Stata's dyndoc review
  • Review - 【Stata小课堂】第2讲:界面介绍

Category Popularity

0-100% (relative to Noblr and Stata)
Car Insurance
100 100%
0% 0
Technical Computing
0 0%
100% 100
Insurance
100 100%
0% 0
Data Dashboard
0 0%
100% 100

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Reviews

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Stata Reviews

25 Best Statistical Analysis Software
Stata is a robust statistical software widely utilized by professionals across various fields for efficient data management, in-depth statistical analysis, and comprehensive data visualization.
9 Best Analysis Software for PC 2023
Stata is statistical software that provides almost all the tools you need in data analysis and visualization. The software is crucial in data manipulation, computing statistics queries, visualization, and generating analytical reports. The software is owned by the StataCorp company and has several applications in various fields like science, engineering, biomedicine,...
Source: pdf.wps.com

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Root Insurance - You could save hundreds on your car insurance. Simple pricing. Fair rates. All in an app.

RStudio - RStudio™ is a new integrated development environment (IDE) for R.

CoverHound - Compare real rates from trusted insurers and get the right coverage for you and your business. Start saving today at CoverHound.com

JMP - JMP is a data representation tool that empowers the engineers, mathematicians and scientists to explore the any of data visually.