From: https://pusher.com/tutorials/live-dashboard-python You will need Python 3+ installed on your machine. A basic knowledge of Python and Flask will be helpful. Introduction In the past, if we needed to build a web platform that keeps track of user actions and displays updates accordingly, say on the admin dashboard, we will have to refresh the dashboard … Continue reading Build a live dashboard with Python
From: https://moderndata.plot.ly/create-a-plotly-dashboards-in-under-10-minutes/ Plotly graphs can be embedded in web sites to create interactive, highly customized dashboards that have many advantages over what is available with expensive, traditional BI software. Many of the world’s leading data driven companies (Netflix, Google, Siemens, and others) are using Plotly to power their dashboards. This article shows you how to create a simple Plotly dashboard using … Continue reading Create a Python powered dashboard in under 10 minutes
Telecommunication From: https://www.math3ma.com/blog/matrices-probability-graphs Today I'd like to share an idea. It's a very simple idea. It's not fancy and it's certainly not new. In fact, I'm sure many of you have thought about it already. But if you haven't—and even if you have!—I hope you'll take a few minutes to enjoy it with me. Here's the idea: … Continue reading Viewing Matrices & Probability as Graphs
From: https://datatofish.com/add-julia-to-jupyter/ In this short post, I’ll show you the steps to add Julia to Jupyter Notebook from scratch. Steps to add Julia to Jupyter Notebook Step 1: Download and Install Julia To start, download Julia for your operating system. In my case, I downloaded Julia for 64-bit Windows: Follow the instructions to complete the installation on … Continue reading How to Add Julia to Jupyter Notebook
From: https://www.marktechpost.com/2019/05/16/21-free-data-sets-projects-for-data-science-beginners/ We have listed below some of the best datasets/ projects for data science beginners. 1. Enron Emails: [Download] 2. The United States Census Data: [Download] 3. Walmart: [Download] 5. CDC Cause of Death: [Download] 6. Data.gov.uk: [Download] 7. Medicare Hospital Quality: [Download] 10. IMF Economic Data: [Download] 11. Dow Jones Weekly Returns: [Download] 12. Google Books Ngrams: [Download] 13. Bureau of Economic Analysis: [Download] 14. UNICEF: [Download] 15. Reddit Comments: [Download] 16. Wikipedia: [Download] 17. Lending Club: [Download] 18. Yelp: [Download] 19. NASA Datasets [Download] … Continue reading 21 Free Data Sets/ Projects for Data Science Beginners
A Merging and Scraping DataFrame Example using Football League Data From: https://towardsdatascience.com/pandas-for-football-analysis-42c23b252995 Introduction This tutorial will centre on how to merge DataFrames scraped from different online sources. To begin, I will merge the Premier League Table, available from, Wikipedia, with statistics relating to the average time a team spends leading, level or trailing over the course of … Continue reading Pandas for Football Analysis
From: https://github.com/basarabam/Top20AnimatedPlot Animated plot of Top 20 National football teams by goals scored made by using ggplot2, gganimate and ggflags packages (and other listed). Follow comments in the code for instructions. This is how animated plot looks like, when finished: Dataset: https://drive.google.com/open?id=1sTzf1ehIDBAUuRoUhQCUk_-S9YbXjCi93qMGoqAs7ec #Loading packages library(tidyverse) library(lubridate) library(countrycode) library(gganimate) library(ggflags) library(tidyr) library(viridis) #Reading data data_1 <- read_csv("results.csv") … Continue reading Top 20 National Football Teams by Goals Scored Animated Plot
From: https://medium.com/@cesar.vieira/analisando-a%C3%A7%C3%B5es-da-bovespa-parte-i-500107703688 Sempre tive muito interesse em estudar finanças, especialmente quando comecei a investir. Depois de algumas experiências com a linguagem C durante a pós-graduação, e vendo as experiências de amigos da pós sobre o quanto o Python é versátil, resolvi estudar um pouco de finanças e, de quebra, aprender um pouco de Python. Foi … Continue reading Analisando ações da Bovespa
From: http://material.curso-r.com/api/ O fluxo da ciência de dados se encerra na parte de comunicação. Essa parte é responsável por transferir todo o conhecimento gerado durante a análise de dados. E isso não é nada fácil!! knitr::include_graphics("figures/data-science-communicate.png") A forma de construir a comunicação depende muito do interlocutor. Por exemplo, se a pessoa que vai receber a … Continue reading Construindo APIs
From: https://datascienceplus.com/bayesian-statistics-analysis-of-health-data/ The premise of Bayesian statistics is that distributions are based on a personal belief about the shape of such a distribution, rather than the classical assumption which does not take such subjectivity into account. In this regard, Bayesian statistics defines distributions in the following way: Prior: Beliefs about a distribution prior to observing any … Continue reading Bayesian Statistics: Analysis of Health Data
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