Posit, the Best ever Data Science Software
August 01, 2023
Posit, the Best ever Data Science Software
Score 10 out of 10
Vetted Review
Verified User
Modules Used
- RStudio Desktop
- tidyverse
- Posit Cloud
- Posit Workbench
- shinyapps.io
- Shiny
- Quarto
Overall Satisfaction with Posit
I use Posit software RStudio Pro to analyze, modelling and visualize dataset related to healthcare, medical affairs and pharma. There are lots of R packages available mainly dplyr, stringr, ggplot2, tidyr which we usually use in our day-to-day data management, data wrangling, cleaning, pre-processing tasks. Also, we use lots of other machine learning packages such as caret, tidymodels for statistical modelling and prediction. Our client network is integrated with AWS cloud platform so that we can use Posit software seamlessly and efficiently.
Business problems like patient analytics, feasibility studies are done using Posit Workbench. Based on clients' requirements and requests we use RStudio and R packages for data visualization including Bar plots, Line Plots for various kind of statistical analysis viz. Correlation analysis, LASSO regression, Elasso or Network analysis and Graph.
We have used RStudio for parallel computing with the R package VSURF to handle big data like millions of rows and columns (mostly patient churn and history data). We also used ggplot2 and plotly library for stunning graphs and plots.
Last but not the least, we have used Rmarkdown (or now Quarto) for generating PDF, Word reports to clients for data validation and case studies according to business requirements.
Business problems like patient analytics, feasibility studies are done using Posit Workbench. Based on clients' requirements and requests we use RStudio and R packages for data visualization including Bar plots, Line Plots for various kind of statistical analysis viz. Correlation analysis, LASSO regression, Elasso or Network analysis and Graph.
We have used RStudio for parallel computing with the R package VSURF to handle big data like millions of rows and columns (mostly patient churn and history data). We also used ggplot2 and plotly library for stunning graphs and plots.
Last but not the least, we have used Rmarkdown (or now Quarto) for generating PDF, Word reports to clients for data validation and case studies according to business requirements.
- Efficient coding
- Clean IDE
- Help page and large community
- Data view support for all kinds of data formats
- More organized help page
- Installation packages of older version as well as latest one
- Open source hence cost effective
- Clean UI/UX for coding
- Help page is really a great resource
- support of multiple programming languages like python, C++ etc
Posit is far better than Jupyter Notebook and Minitab in this regard that Posit is actually capable of doing all kind of analytical stuffs like data pre-processing, wrangling, validation and visualization. On the other hand, Jupyter Notebook can be used for python programming language only. And Minitab is kind of extended version of Microsoft Excel.
Considering all these, I would say that Posit is actually outperforming over any other IDEs or softwares that are available in the market.
Considering all these, I would say that Posit is actually outperforming over any other IDEs or softwares that are available in the market.
Do you think Posit delivers good value for the price?
Yes
Are you happy with Posit's feature set?
Yes
Did Posit live up to sales and marketing promises?
I wasn't involved with the selection/purchase process
Did implementation of Posit go as expected?
Yes
Would you buy Posit again?
Yes