Outliers
Data Visualization Techniques for Predictive Analytics
Data Mining Applications in Telecommunications
Analytics
Key Aspects of Visualization
Engaging Stakeholders with Data Insights
Creating Visual Reports for Stakeholders
Analyzing Data Patterns with Data Mining
Forecasting Trends for Business Success 
Requires a good understanding of statistical methods, sensitive to
outliers ...
Data Visualization Techniques for Predictive Analytics Box Plots Summarizes data through its quartiles, highlighting
outliers ...
Data Mining Applications in Telecommunications 1 Techniques Used Anomaly Detection: This involves identifying
outliers in data that deviate from normal behavior
...
Analytics visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends,
outliers, and patterns in data
...
Key Aspects of Visualization Pattern Recognition: Visualization helps in identifying trends, correlations, and
outliers that may not be evident in raw data
...
Engaging Stakeholders with Data Insights It enables stakeholders to see analytics presented visually, making it easier to identify patterns, trends, and
outliers ...
Creating Visual Reports for Stakeholders Quick Analysis: Stakeholders can quickly identify trends, patterns, and
outliers, facilitating faster decision-making
...
Analyzing Data Patterns with Data Mining relationships between variables Market Basket Analysis Anomaly Detection Identifying
outliers in data Fraud Detection 3
...
Enhancing Reports with Data Visualizations Identifying Trends and Patterns: Visualizations allow for the easy identification of trends,
outliers, and patterns that may not be apparent in raw data
...
Understanding Data Relationships through Visuals Improved Data Analysis: Visual tools can assist analysts in spotting anomalies and
outliers that require further investigation
...
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