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Name: Harith Rathish

Type: User

Company: @vis-au

Bio: Researcher in Data Visualization. Aarhus University, Denmark

Location: Denmark

Hi there 👋

Welcome to my GitHub! I'm a data visualization researcher at Aarhus University, Denmark.

I host all my research on GitHub, and I've featured a few of them below in my repositories. If you're interested in data analytics with visualization, do check them out 😊

🔭 I’m currently working on visualizing data errors (missing values, duplicate entries etc.)
🌱 I’m currently learning Go, for faster real-time data processing
⚙️ I use daily: TypeScript, React, D3.js, Python
📫 How to reach me: [email protected] or message me on LinkedIn

Harith Rathish's Projects

adma-project-writeup

Latex doc for adma project

aot-gan-for-inpainting

[TVCG] AOT-GAN for High-Resolution Image Inpainting (codebase for image inpainting)

cite-classifications-wiki

Citation Classification using hybrid neural network model for Wikipedia References

data-viz-au-2021

Data Visualization project - Aarhus University 2021

dataset-perturbator

Modify datasets by adding noise, removing points and jittering

dp-utility-scagnostics

Assessing utility of differentially private scatterplots using Scagnostics

frontend

harith1996

hexbin-food-science

Analyzing mass spec errors with binned scatterplots

lane-plot

A visualization for linearizable data

lane-plot-v2

LaNe plots in small multiples to explore multiple datasets.

mindway-task

Interview task for mindway.ai

missingdatachallenge_team13

Scripts for the missing data challenge 2023

mqtt-rpi-client

peptide_bioactive_viz

Visualization for peptides and their bioactive functions

phd-part-a-report

Part A qualification report for PhD at Aarhus University

rpi-web-server

rscag

Code and dataset of the paper "Improving the Robustness of Scagnostics" accepted by IEEE InfoVis 2019

scagnostics_assoc

Testing association based scagnostincs

sjet

ADBMS Project

skeleton-scagnostics

Source code of Skeleton based scagnostics.

smart-grid-simulation

Simulation of a smart grid designed to balance the load from chargeable devices

tm-intervals-d3

A D3.js implementation of the Triangular Model for visualizing time intervals.

viz_food_science_msc

Tool from student project

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