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, Pandas seems to be more popular. It has been mentiond 201 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.
How to Accomplish: Use statistical analysis tools and libraries (e.g., Pandas for tabular data) to calculate and visualize these characteristics. For image datasets, custom scripts to analyze object sizes or mask distributions can be useful. Tools like OpenCV can assist in analyzing image properties, while libraries like Pandas and NumPy are excellent for tabular and numerical analysis. To address class... - Source: dev.to / 3 days ago
Pandas - A powerful data analysis and manipulation library for Python. Pandas Documentation - Official documentation. - Source: dev.to / 9 days ago
It's also possible for you to give a package an alias by using the as keyword. For instance, you could use the pandas package as pd like this:. - Source: dev.to / about 1 month ago
Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience. - Source: dev.to / about 2 months ago
In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method. - Source: dev.to / about 2 months ago
NumPy - NumPy is the fundamental package for scientific computing with Python
Infotools Harmoni - Cloud-based market research analysis and data visualization
OpenCV - OpenCV is the world's biggest computer vision library
KnowledgeHound - Data discovery and visual analytics to create a more agile, customer driven organization
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Pimcore - Pimcore is an award-winning data management and customer experience management software.