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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更新时间 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 (2024). Data analysis and visualization (https://www.mathworks.com/matlabcentral/fileexchange/166311-data-analysis-and-visualization), MATLAB Central File Exchange. 检索来源 2024/10/2.