Data analysis and visualization

Data analysis and visualization are essential steps in understanding and interpreting data. They allow us to uncover patterns, trends.

DATA ANALYSIS:

• Data analysis encompasses various techniques for processing, cleaning, and transforming raw data. It involves statistical methods, machine learning algorithms, and domain-specific approaches.
• Common data analysis tasks include:
• Descriptive statistics (mean, median, variance, etc.)
• Exploratory data analysis (EDA) to understand data distributions and relationships
• Hypothesis testing and inferential statistics.

Data Visualization:

• Data visualization translates data into visual forms such as plots, charts, graphs, and maps. It helps convey complex information in an intuitive manner.
• Key aspects of data visualization:
• Types of Visualizations:
• Line plots, scatter plots, bar charts, histograms, heatmaps, etc.
• 3D visualizations for spatial data
• Geographic maps.