Distribución de Datos e Histogramas con Python

Without using mathematical formulas, this video explains the concept of data frequency distribution and how to display this distribution using histograms. It also provides examples of variables that follow normal, uniform, and/or exponential distributions. 👉 Xiperia offers business consulting that transforms data into actionable knowledge to achieve your business objectives. Learn more at https://www.xiperia.com ℹ️ Octavio Gutiérrez is solely responsible for the content, statements, and opinions expressed in this video, which are not affiliated with the organizations he is associated with. 🌐 To learn more about Octavio Gutiérrez, visit his LinkedIn profile:   / octaviogutierrez   To cite this educational resource, use the following reference: Gutiérrez-García, J.O. [Machine Code]. (2021, August 8). Data Distribution and Histograms with Python [Video]. YouTube. [Include video URL here]. ****************************************** To guide your learning, this link (   • Curso de Inteligencia Artificial (IA) y Ma...  ) contains a sequential guide to learning: 1. Basic Programming with Python; 2. Data Handling; 3. Data Visualization; 4. Data Analysis; and 5. Machine Learning and Data Science. *********************************************** Video Index: 0:00 Introduction to Data Distribution and Histograms 1:55 Creating Histograms 6:33 Generating Arrays with Random Data using NumPy 8:14 Random Data with a Certain Distribution 8:47 Normal (Gaussian) Distribution 12:30 Normal, Uniform, and Exponential Distributions ⭐ Support Código Máquina by liking, commenting, sharing, or saying a big thank you. 📊 The data doesn't lie: Hair loss is slowed down with predictive maintenance, not corrective maintenance. The new solid anti-hair loss shampoo from the co-founder of Código Máquina is the high-performance upgrade your biological hardware needs. 🧪💻🧬 👉 Get yours and stabilize your system: https://bit.ly/Sinhaki The video code is available on GitHub: https://github.com/CodigoMaquina/code #matplotlib #DataScience #visualization #python