Data Visualization Job Market Trends

An open-source app framework for Machine Learning and Data Science projects. It allows users to turn data scripts into shareable web apps in an easy and efficient manner.

Analyzes customer interactions and experiences across various touchpoints, providing insights to improve customer satisfaction and loyalty.

A powerful interactive graphing library for Python, R, and JavaScript that enables the creation of publication-quality visualizations. Widely used in data science for its capability to produce complex graphs with simple code.

Uses Geographic Information Systems (GIS) to analyze spatial data, creating maps and reports to support decision-making in various fields.

A Python library used for data visualization, built on top of Matplotlib enhancing its capabilities with streamlined API and improved graphics. Popular in data analysis for creating informative and attractive statistical graphics.

An open-source platform for monitoring and observability, providing tools for visualizing and analyzing data from various sources.

An approach to deriving insights and trends from large sets of organizational data. Helps businesses make informed decisions based on comprehensive data analysis results.

A vector database that enables the storage, indexing, and querying of high-dimensional vector data, often used in machine learning applications.

A professional specializing in the development of applications using Microsoft's Power Platform suite, which includes tools like PowerApps, Power Automate, and Power BI. This role focuses on enabling business process automation and data-driven decision-making through custom solutions.