Data analysis and visualization

版本 1.0.0 (1.5 KB) 作者: Dhanush
Data analysis and visualization are essential steps in understanding and interpreting data. They allow us to uncover patterns, trends.
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更新 2024/5/22

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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.

引用格式

Dhanush (2026). Data analysis and visualization (https://ww2.mathworks.cn/matlabcentral/fileexchange/166311-data-analysis-and-visualization), MATLAB Central File Exchange. 检索时间: .

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