PROJECT 04 / DATA INTELLIGENCE LABORATORY

Data → Intelligence

A data analytics laboratory for transforming raw information into measurable patterns, visual insight and eventually machine-learning intelligence.

DATA→ANALYTICS→STATISTICS→ML→PREDICTION

Explore the dataset.

This first engine establishes the foundation: structured data, metrics, comparisons and statistical summaries.

AVERAGE70
MAXIMUM91
MINIMUM57
OBSERVATIONS5
ANALYZE:
REGIONPOPULATIONRAINFALLTEMP.INDEX
Central4.2M1180 mm19.4°C78
Coast3.9M1040 mm27.1°C64
Eastern6.1M760 mm24.8°C57
Nairobi4.8M920 mm18.9°C91
Western5.8M1460 mm21.7°C61
01

Data Cleaning

Missing values, duplicates, inconsistent formats and reliable data preparation.

02

Exploratory Analysis

Distributions, correlations, trends, outliers and relationships.

03

Machine Learning

Classification, regression, clustering and predictive modelling.

04

Prediction

Convert learned patterns into useful forecasts and intelligent decisions.