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