DATA INTERPRETATION STRATEGIES
DESCRIPTIVE STATISTICS
INFERENTIAL STATISTICS
QUALITATIVE DATA ANALYSIS
DATA VISUALIZATION
COMPARATIVE ANALYSIS
TREND ANALYSIS
CLUSTER ANALYSIS
SENSITIVITY ANALYSIS
CORRELATION AND CAUSATION
TRIANGULATION
Mean, median and mode
Standard deviation and variance
Hypothesis tezting
Confidence intervals
Thematic analysis
Content analysis
Graphs and charts
Heatmaps and geographical maps
Benchmarking
Cross-tabulation
Time series analysis
Cluster analysis
k-means clustering
Hierarchical clustering
What-if scenarios
Monte Carlo simulation
Correlation coefficients
Casual inference
Multiple data sources
Mixed methods
Always consider the context of your data
Be cautious not to draw broad conclusions
Identify and account for any biases
Validate your results by replicating
Present your findings in a clear and concise manner
Ana Tospanta 2nd A