Pinecrow is designed to make life easier for Market Researchers through our two flagship solutions:
1) Survey insights: Pinecrow connects with all major survey execution platforms like Qualtrics, FocusVision Decipher and SurveyMonkey to automatically transform your survey response data to a centralized analytical database. Anyone within your organization can use a simple search, just like a Google search engine to find the right data and insights even from surveys that were done several years ago and long forgotten. Researchers can now spend less time in finding and processing data and more time in generating insights. Pinecrow also comes with automatic visualizations, nested crosstabs and guided statistical analysis and supports both quantitative and qualitative data. You can dive deeper on what matters most from each research project, as well as connect the dots across multiple surveys to reveal hidden connections with new insights to inspire action.
2) Survey management: Pinecrow is the only project management solution for Market Research available in the market that helps streamline your processes and projects. You can leverage our curated templates and build your entire survey workflow with just a few clicks. We have all the tools necessary to plan, organize, track and scale your survey workflows and all other market research activities within the same platform. It has never been so easy to manage dependent, overlapping, and unscheduled tasks.
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Based on our record, Plotly seems to be more popular. It has been mentiond 29 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.
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 5 months ago
If your CEO wants you to solo build an alternative to Tableau, PowerBi, or even Plotly then consider him/her delusional. Source: 12 months ago
Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: 12 months ago
I use plotly and like it a lot. It is slower though. Noticeable if you want to batch-generate a bunch of images and dump them into a folder. But that probably isn't the case most times. Source: about 1 year ago
Plotly Dash is a great framework for developing interactive data dashboards using Python, R, and Javascript. It works alongside Plotly to bring your beautiful visualizations to the masses. - Source: dev.to / over 1 year ago
Infotools Harmoni - Cloud-based market research analysis and data visualization
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