Exploratory Data Analysis (EDA): EDA involves initial data exploration to understand the structure, distribution, and characteristics of the dataset. It includes summary statistics, data profiling, and visual exploration to identify outliers, missing values, and relationships among variables.
- Interactive Dashboards: Interactive dashboards provide dynamic and real-time views of data, allowing users to explore and interact with the information visually. Dashboards typically include charts, graphs, tables, and filters that enable users to slice and dice the data to gain specific insights.
Data Storytelling: Data storytelling involves weaving together data insights and visualizations into a compelling narrative. It aims to communicate complex information effectively, engage stakeholders, and facilitate data-driven decision-making by presenting key findings, trends, and recommendations in a clear and concise manner.
Tools and Technologies: Various tools and technologies support data analysis and visualization, including data visualization platforms (e.g., Tableau, Power BI).