In this work we present a visualization tool specifically tailored to deal with skewed data. The technique is based upon the use of two types of notched boxplots (the usual one, and one which is tuned for the skewness of the data), the violin plot, t...
In modern data-driven science, reproducibility and reusability are key challenges. Scientists are well skilled in the process from data to publication. Although some publication channels require source code and data to be made accessible, rerunning a...
Portfolio of data science projects completed by me for academic, self learning, and hobby purposes. (⭐ 1221)
In statistics, combinatorial data analysis (CDA) is the study of data sets where the order in which objects are arranged is important. CDA can be used
Recent technological advances have provided new settings to enhance individual-based data collection and computerized-tracking data have became common in many behavioral and social research. By adopting instantaneous tracking devices such as computer...
Content for the following online course: Building Database Applications in PHP, Charles Russell Severance, Coursera. (⭐ 3)
Building interactive data interfaces is hard because the design of an interface depends on the data processing needs for the underlying analysis task, yet we do not have a good representation for analysis tasks. To fill this gap, this paper advocates...
Scripts and such for data management, analysis, visualization, etc. (⭐ 54)
In the pursuit of advancing the state-of-the-art (SOTA) in road safety, traffic monitoring, surveillance, and logistics automation, we introduce the Global License Plate Dataset (GLPD). The dataset consists of over 5 million images, including diverse...
Tehran metro station data as graph in json format (⭐ 206)
In the practical deployment of machine learning (ML) models, missing data represents a recurring challenge. Missing data is often addressed when training ML models. But missing data also needs to be addressed when deciding predictions and when explai...
推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/ (⭐ 6775)
Peoples Water Data proves that a people-powered, open-data model can deliver reliable household water evidence at scale, driving equitable decisions, accountability, and safer water where it is most needed....
Is it okay to put off Data Structures until Sophomore Year Spring? I was originally going to take it in the fall but I now have some course conflicts that I cannot really replace. I know that Data Str...
Lattice data structures are space efficient and cache-suitable data structures. The basic searching, insertion, and deletion operations are of time complexity $O(\sqrt{N})$. We give a jump searching algorithm of time complexity $O(J(L)\log(N))$, wher...
A data structure is a way of organizing and storing digital data so that it can be used efficiently. Just like physical storage methods (like shelves, drawers, or filing cabinets) help us manage physical objects, …
Data structures are a fundamental component of computer science because they give form to abstract data points. In this way, they allow users and systems to efficiently organize, work with and store …
is a list of well-known data structures. For a wider list of terms, see list of terms relating to algorithms and data structures. For a comparison of running
Jul 12, 2025 · A data structure is a particular way of organising data in a computer so that it can be used effectively. The idea is to reduce the space and time complexities of different tasks. The choice of a …
The Movie Database (TMDB) is a popular, user editable database for movies and TV shows.