Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. It was introduced by John Hunter in the year 2002. One of the greatest benefits of visualization is that it allows us visual access to …

Uber is interested in predicting rider retention. To help explore this question, they have provided a sample dataset of a cohort of users.

Accumulation Data Indonesian Inflation 2020 - 2024

Full Stack Web Developer ASP.NET Core Blazor | Russian | Tajik | Mandarin | Japanese | English

Código feito nos encontros aos sábado em que está fazendo análise

Apply machine learning algorithms to data analysis,modeling and recommender system for hands-on practice.

Python package makes you able to draw OAK Leaf depending on an angle.

Material de clase y ejercicios acerca de Matplotlib

Filtre os arquivos que você não utiliza mais via PowerShell e receba um gráfico customizado com essas informações :)

This repository is containing portfolio of data analyst and data science projects for academic & self learning.

Python code designed for users to access and visualize flight schedules and personal data.

Finding relationships between words

Using Python and SQLAlchemy to do basic climate analysis and data exploration of our climate database. Then after initial analysis, designing a Flask API based on the queries that we just developed.

Analyzing data from a survey to find correlations in music and how it effects mental health.

A brief course intended to introduce non-programmers to python and data wrangling. Also, demonstration of network optimization, pdf creation in Python, and a simple Monte Carlo simulation.

Tarea de computa gráfica, 2015-1

Analysis of patterns in global weather data taken from 500 cities using the Python Citipy package, Matplotlib, and Open Weather Map API

Exploratory Data Analysis

Employment Rates and mean salaries associated with various college majors in US Universities were analyzed to understand the relationship between those factors and each major. Additionally, some secondary analysis on gender proportion changes over the year was visualized.

Построение спектрограмм для генераторов шума с помощью PyQt5 и matplotlib