Georesource Solutions Tanzania — CSV Correlation Analyzer

Step 1: Upload CSV Files

Select one or more CSV files from your computer. Ensure that your time-series data includes a "Year" or "Date" column to enable automatic alignment across datasets.

Automatically aligns time-series by a Year/Date column — scatter allows cross-file columns using filename::column.

Step 2: Preview Data

Review your CSV contents here. Large tables are scrollable for convenience.

Step 3: Correlation Matrix

Displays the correlation coefficients between selected columns. Scrollable if the table is large.

Step 4: Correlation Heatmap

Visualize correlation strengths using a heatmap. Colors indicate magnitude and direction of correlation.

Step 5: Scatter Plot Analysis

Select X and Y columns to visualize scatter plots. Includes regression line and R². Supports year-alignment if "Year" column exists.

Step 6: Composite Indicator

Automatically combines Climate, Harvest, and Population metrics into a normalized composite index using z-scores. Aligned by Year.

Step 7: Map Visualization

Plot CSV points on an interactive Leaflet map. Ideal for spatial analysis of your datasets.