time-series-visualization

Synchro Charts is a front-end component library that provides a collection of components to visualize time-series data.

This repository contains a Python code script for performing emotion classification using EEG (Electroencephalogram) data. Emotion classification from EEG signals is an important application in neuroscience and human-computer interaction. The code leverages deep learning techniques to analyze EEG data and predict emotional states.

This is a custom library for data processing, visualization and machine learning tools.

Internship Project 1: Performed basic data analytics and visualization on the Weather Data Set to gain insights.

Minicurso sobre dygraphs ministrado no IV SER UFF

A data visualization project built entirely in Tableau, examining Democracy Index scores through dashboards highlighting global patterns, regional contrasts, and changes in regime status.

End-to-end pipeline for hydrometeorological time-series processing and flash-flood modeling with a ML framework. Integrates rain-gauge and river-stage data through advanced preprocessing (with outlier detection & noise filtering) for flood forecasting with classical ML models; performance evaluation and exploratory/statistical analysis of results.

Research-grade statistical visualization on Seaborn: a typed package, an eleven-notebook curriculum and a reproducible figure pipeline adding bootstrap CIs, effect sizes, corrected pairwise tests with annotations, colour-blind palette checks, journal-width figure sizing and provenance-tagged exports.