Publications by José María Durazo Durazo / A01251747
Market Abarrotes
a Inicio bd <- read.csv("C:\\Users\\chema\\Downloads\\abarrotes.csv") #Herramienta: “Generador de Valor de Datos” ##Paso 1. Definir el área de negocios que deseamos impactar o mejorar y su KPI. Área de Ventas. Incremento de ventas. ##Paso 2. Seleccionar plantilla (-s) para crear valor a partir de los datos de los clientes. Visión / Seg...
2125 sym R (48529 sym/72 pcs) 3 img
US Arrests
a Inicio data("USArrests") summary(USArrests) ## Murder Assault UrbanPop Rape ## Min. : 0.800 Min. : 45.0 Min. :32.00 Min. : 7.30 ## 1st Qu.: 4.075 1st Qu.:109.0 1st Qu.:54.50 1st Qu.:15.07 ## Median : 7.250 Median :159.0 Median :66.00 Median :20.10 ## Mean : 7.788 ...
517 sym R (4424 sym/16 pcs) 4 img
Estadistica
a Importar la base de datos #file.choose() poblacion <- read.csv("C:\\Users\\chema\\Downloads\\poblacion.csv") # file.choose() muestra <- read.csv("C:\\Users\\chema\\Downloads\\muestra.csv") Tamaño de la población (N) N <- length(poblacion$Pago) N ## [1] 12 Tamaño de la muestra (n) n <- length(muestra$Pago) n ## [1] 5 Medidas de Tend...
6981 sym Python (2250 sym/33 pcs) 2 img
Global Trends
a Instalar paquetes y llamar librerias library(tidyverse) ## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.2 ── ## ✔ ggplot2 3.3.6 ✔ purrr 0.3.4 ## ✔ tibble 3.1.8 ✔ dplyr 1.0.10 ## ✔ tidyr 1.2.0 ...
1530 sym R (706 sym/9 pcs) 2 img
Regresión Walmart
features <- read.csv("C:\\Users\\chema\\Documents\\Clase\\features.csv") stores <- read.csv("C:\\Users\\chema\\Documents\\Clase\\train.csv") test <- read.csv("C:\\Users\\chema\\Documents\\Clase\\test.csv") train <- read.csv("C:\\Users\\chema\\Documents\\Clase\\stores.csv") Instalar librerias library(dplyr) ## ## Attaching package: 'dplyr' #...
1867 sym R (18832 sym/52 pcs) 1 img
Regresión Walmart
features <- read.csv("C:\\Users\\chema\\Documents\\Clase\\features.csv") stores <- read.csv("C:\\Users\\chema\\Documents\\Clase\\train.csv") test <- read.csv("C:\\Users\\chema\\Documents\\Clase\\test.csv") train <- read.csv("C:\\Users\\chema\\Documents\\Clase\\stores.csv") Instalar librerias library(dplyr) ## ## Attaching package: 'dplyr' #...
1867 sym R (18832 sym/52 pcs) 1 img
Walmart
a Inicio features <- read.csv("C:\\Users\\chema\\Documents\\Clase\\features.csv") stores <- read.csv("C:\\Users\\chema\\Documents\\Clase\\train.csv") test <- read.csv("C:\\Users\\chema\\Documents\\Clase\\test.csv") train <- read.csv("C:\\Users\\chema\\Documents\\Clase\\stores.csv") Instalar librerias library(yaml) library(dplyr) ## ## Att...
2589 sym R (18847 sym/52 pcs) 2 img
R Markdown
Inicio bd <- read.csv("/Users/chema/Downloads/FORM - Delivery Plan.xlsx - DELIVERY PLAN.csv") #Entender la base de datos summary(bd) ## CLIENTE.PLANTA PROYECTO ID.ODOO ITEM ## Length:231 Length:231 Length:231 Length:231 ## Class :character Class :character Class :char...
848 sym R (49960 sym/34 pcs) 2 img
RH
Importar Base de Datos rh <- read.csv("C:\\Users\\chema\\Downloads\\recursoshumanos.csv") Importar Librerias library(dplyr) ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:stats': ## ## filter, lag ## The following objects are masked from 'package:base': ## ## intersect, setdiff, setequal, union...
1119 sym R (24513 sym/66 pcs) 5 img 1 tbl
Entregable 2.4
a Inicio del codigo Para comenzar importaremos las librerias que posiblemente sean necesarias para el codigo. library(dplyr) ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:stats': ## ## filter, lag ## The following objects are masked from 'package:base': ## ## intersect, setdiff, setequal, uni...
2509 sym R (17423 sym/86 pcs) 5 img 3 tbl