Introducción: fundamentos de la visualización de datos

1

¿Qué aprenderás sobre la visualización de datos?

2

¿Qué es la visualización de datos?

3

Florence Nightingale y la dama de la lámpara

4

Retos para aprender visualización de datos

5

Importancia de la visualización de datos: disminuye la carga cognitiva

6

Herramientas para visualizar datos: Excel, Tableau, Power BI, Google Analytics, Google Data Studio

7

¿Cómo usar correctamente una gráfica? Ejemplos y usos de visualizaciones

8

Buenas prácticas para visualización de datos: user personas, mentiras estadísticas y principios de Gestalt

9

Caso Target: conflictos de ética en la ciencia de datos y Big Data

Elige la gráfica correcta para tus reportes

10

Gráfica de barras

11

Gráfica de pie

12

Gráfica de dispersión

13

Gráfica de burbujas

14

Gráfica de mapas

15

Tipos de mapas: isolíneas, coropletas, diagramas, anamórficos

16

Gráfica de heat map o mapas de calor

17

Gráfica de tablas

18

Importancia del storytelling en la visualización de datos

Data Visualization para Business Intelligence

19

¿Cómo afecta la visualización de datos en tu negocio?

20

Explora, descubre, pregunta: toma decisiones inteligentes con análisis de datos

21

Práctica: análisis y exploración de datos

22

Práctica: storytelling para contar historias con datos

23

Caso Walmart: integra visualización de datos y Big Data con inteligencia de negocios

Flujo de trabajo y etapas del Business Intelligence

24

Recolección de datos

25

Limpieza de datos

26

Exploración de datos

27

Creación de gráficas y visualizaciones

28

Generación de reportes con storytelling

29

Define objetivos SMART con KPIs o Key Performance Indicators

Recomendaciones finales para Visualización de Datos

30

Caso Orbitz: beneficios de una cultura data-driven o basada en datos

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Práctica: análisis y exploración de datos

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Lectura

Para este ejercicio, te invito a que puedas realizar una exploración sobre una base de datos llamada Super Store Data.

...

Regístrate o inicia sesión para leer el resto del contenido.

Aportes 374

Preguntas 19

Ordenar por:

¿Quieres ver más aportes, preguntas y respuestas de la comunidad?

Genial. Lo he realizado con Power BI. 😃

Para los interesados en querer hacer esta practica usando Pandas y Matplotlib, les dejo un tutorial elaborado por mi que les puede ser de ayuda

  • La categoria más vendida es: Technology Seguida se cerca de Office Suplies.

  • El cliente que más compra es Sean Miller de Jacksonville, un total de 7 compras que suman un monto de $23,661

  • En general el trimestre 4 de cada año se realizan más ventas, siendo el Q4 de 2017 el mejor trimestre con ventas por $280 mil

También podemos ver que:

  • Se han realizado 9994 ventas por un valor total de $2,3 millones.

  • La ganancia de todas la ventas ha sido de $286, 4 mil.

  • Eso nos da un % de utilidad del 12,03%

  • Se obtiene un promedio de $28,66 de Utilidad por cada venta.

  • El descuento promedio de todas las ventas es del 16%

ALERTAS:

  • La subcategoria tablets, presenta utilidad negativa (Perdidas)

  • De igual modo las ventas en las ciudades de Philadelfia, Houston y Chicago a pesar de ser la 5, 6 y 7ma ciudad con más ventas, presentan Utilidad negativa (Perdidas)

  • Estas mismas ciudades(Philadelfia, Houston y Chicago ) son las que más suma por concepto de descuentos, teniendo las tasas de descuento más altas con un 33, 38 y 38 % respectivamente.

pd: Tal vez me pasé con la carga visual

Esta practica la hice usando Pandas, Numpy, Matplotlib y Jupyter Notebook

Les comparto mi primer Dashboard utilizando GoogleStudio,

https://datastudio.google.com/s/iINJtVCEXSY

Interactuando con el dashboard, podemos saber que ciudad ha vendido más, dejo más ganancias, condicionarla a la subcategoría, categoría, segmento, region y el año, en la parte superior encontramos el total de ganancia, de ventas, cantidad de productos vendidos, el número de pedidos, condicionador para regiones, logo y una información.

La gráfica de la serie temporal nos muestra la suma total en esos meses de las condiciones que coloquemos, una gráfica de barras de las categorías por ventas y ganancias.

La primera tabla nos arroja la ciudad, la ganancia, la venta, cantidad de productos, y el tiempo promedio de envío, la segunda tabla nos muestra el nombre del cliente, el nombre del producto, la ciudad, la cantidad de productos, el tiempo promedio de llegada del producto y las ganancias que se han obtenido con éste cliente, la tercera tabla nos muestra los 5 mejores clientes de acuerdo a los controles.

La gráfica circular, nos muestra el porcentaje por cantidad de productos que tienen las categorías y una gráfico de barras para saber la mejor sub-categoría de acuerdo a las ganancias.

Utilizando el Dashboard para explorar y responder preguntas.

¿Cuál es la categoría de productos más vendida?

La categoría que más productos vende es technology.

¿Quién es el cliente que compra más?

El cliente que más compra es Wiliam Brown, ha realizado 37 pedidos, para un total de 146 productos, ha generado $714,33 en ganancias evaluado en $6160,1.

¿En qué Trimestre (Q) se realizan más ventas?

El trimestre donde más se realizan ventas es: octubre, noviembre y diciembre.

Les comparto mi visualización desarrollada sobre Qlik sense.

Comparto algunas de los datos que pude observar. Excelente curso!!

Utilicé Google Data Studio, las respuestas a las 3 preguntas planteadas son:

  1. Tecnologia es la categoria que más vende.
  2. El cliente que más ventas ha tenido es Sean Miller
  3. El Quarter en donde se tuvieron más ventas fue el Q4 de 2017

Como curiosidad: En los primeros cuatrimestres no se vende mucho, pero en el Q4 se da un repunte de ventas, posiblemente debido a las festividades.

(Y perdón por los colores sobresaturados, desde que me pasé a Ubuntu no sé porqué pero al tomar capturas los colores se sobresaturan)

Les comparto mi resultado con Power BI

También coloqué un filtro para ir viendo año por año, estos son los resultados del año 2017

Por categoría

Sean Miller, el que compra más

4to trimestre del 2017

Algunos extra que estaba probando


Hice el ejercicio de generar gráficas de barras con pandas y matplotlib en Google Colab. Este es el resultado:

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

def show_bar_chart(labels, series, width_cols, title, xLabel, xLabel_orientation, yLabel):
  pos=np.arange(len(labels))
  fig, ax = plt.subplots()
  for serie in series:
    ax.bar(pos,serie,width_cols,label=xLabel)
  ax.set_ylabel(yLabel)
  ax.set_title(title)
  ax.set_xticks(pos)
  ax.set_xticklabels(labels,rotation=xLabel_orientation)
  ax.legend()
  fig.tight_layout()
  plt.show()

data = pd.read_excel("/superstore.xls",index_col='Row ID')

#¿Cuál es la categoría de productos más vendida?
categories = data[['Category','Sales']]
categories = categories.groupby(['Category']).sum()
plot01_labels = categories.index.to_list()
plot01_values = [[val[0] for val in categories.values]]
show_bar_chart(plot01_labels,plot01_values,0.4,'Sales by category','categories','horizontal','sales')

#¿Quién es el cliente que compra más?
customers = data[['Customer Name','Sales']]
customers = customers.groupby(['Customer Name']).sum()[-10:]
customers = customers.sort_values('Sales',ascending=False).head(10)
plot02_labels = customers.index.to_list()
plot02_values = [val[0] for val in customers.values]
show_bar_chart(plot02_labels,[plot02_values],0.4,'Sales by customer','customers','vertical','sales')

#¿En qué Trimestre (Q) se realizan más ventas?
def set_Q(row):
  return row['Order Date'].quarter
quarters = data[['Order Date','Sales']]
quarters = quarters.assign(Q = quarters.apply(lambda r: set_Q(r), axis=1))
quarters = quarters.groupby(['Q']).sum()
plot03_labels = quarters.index.to_list()
plot03_values = [val[0] for val in quarters.values]
show_bar_chart(plot03_labels,[plot03_values],0.4,'Sales by quarter','quarters','horizontal','sales')

Respuestas: 1. Technology 2. Sean Miller 3. Q4

Para calcular los cuartiles en Excel use la siguiente formula:
=REDONDEAR.MAS(MES(A2)/3, 0)
Teniendo en cuenta que la primer fecha esta en A2.

Para un Excel mas antiguo podría funcionas asi la formula :
=REDONDEAR.MAS(MES(A2)/3 ; 0)

Sean Miller es el mejor cliente

Presentación

  1. ¿Cuál es la categoría de productos más vendida?
    • Forniture
  2. ¿Quién es el cliente que compra más?
    • Jonathan Doherty
  3. ¿En qué Trimestre (Q) se realizan más ventas?
    • En todos los años el Q4 es del mayores ventas

Reporte

Recomendación, entregar lo que se pide a no ser que te digan investiga

Me pareció interesante mostrar el cliente que mas compras hacia por categoría

Aquí está mi análisis… Es curioso como el primer año, la categoría de tecnología paso a ser la número uno en ventas, además que el estado que tiene el promedio de descuentos más alto, que es Texas, es el que menos profit deja, teniendo números negativos.

Con tablas y gráficos dinámicos pude segmentarlo de acuerdo al año el mismo ejemplo.

  • A pesar de que las ventas de muebles son altas en las cuatro regiones, sus beneficios son muy bajos a comparación de las demás categorías

  • La tecnología es la categoría que tiene mayores beneficios

  • Dado el importante volumen de ventas de muebles en la región central , su utilidad(negativa) merece ser analizada

  • El segmento Consumidor es el mayor comprador de mercancía a nivel nacional de la tienda, siendo comprador del 50% de esta

Mi visualización hecha en Power BI

En la parte de categorías me sale que las mayores ventas se dan en Office Supplies. Espero me puedan confirmar.

Respuesta directa a las preguntas: **¿Cuál es la categoría de productos más vendida?** Office Supplies 0.602962 Furniture 0.212227 Technology 0.184811 **¿Quién es el cliente que compra más?** **El cliente que compra más veces:** Customer ID Customer Name Num of transactions WB-21850 William Brown 37 **La cliente que gasta más dinero 💵:** Customer Name Customer ID Total Tamara Chand TC-20980 8981.3239 **¿En qué Trimestre (Q) se realizan más ventas?** Trimestre Sales 0 2017Q4 280054.0670 El trimestre en el que más ventas se realizaron fue en el cuarto cuartil de 2017. Sin embargo, al hacer establa tabla observé el patrón de que en el cuarto y tercer cuartiles suelen haber más ventas en todos los años. ![](https://static.platzi.com/media/user_upload/image-f8a92652-95cd-4787-85e6-d787dba18522.jpg) Y al enfocarme en eso, me di cuenta de que, efectivamente, prácticamente se duplica la cantidad obtenida de ventas en la segunda mitad del año Quarter Sales 4 878077.5592 3 613932.1057 2 445509.6196 1 359681.5758 ```js datos['Order Date']=pd.to_datetime(datos['Order Date']) datos['Trimestre']=datos['Order Date'].dt.to_period('Q') ventas_por_trimestre=datos.groupby('Trimestre')['Sales'].sum().reset_index() ventas_por_trimestre.sort_values(by='Sales',ignore_index=True, ascending=False) datos.loc[:,('Quarter','Sales')].groupby(by='Quarter')['Sales'].sum().sort_values(ascending=False) ```datos.loc\[:,('Quarter','Sales')].groupby(by='Quarter')\['Sales'].sum().sort\_values(ascending=False)
**¡Ciencia de datos aplicada al fitness!** Objetivo medir aforo de clases, para poder ofrecer mejor servicio a los usuarios, más equipo, más horarios, abrir cupos, cambiar horarios, indicadores de Coaches, etc. Les dejo mi **Linkedin** cualquier duda!! <https://www.linkedin.com/in/fernando-martinez-850589224/> ![](https://static.platzi.com/media/user_upload/image-cb8138e2-adf9-489e-8c48-c24145152a83.jpg)![](https://lookerstudio.google.com/u/0/reporting/7280320a-63ba-4cfb-9219-1f15f4112c08/page/ChkVD) **Tablero Data Studio.** <https://lookerstudio.google.com/u/0/reporting/7280320a-63ba-4cfb-9219-1f15f4112c08/page/ChkVD>
![](https://static.platzi.com/media/user_upload/image-740b5ff3-f750-4ee1-be45-4461802eee41.jpg)
El cliente que mas compra es Sean Miller: ![](https://static.platzi.com/media/user_upload/image-8a21b368-a571-4d0c-9c24-543f5404c917.jpg)
Lo que encontré en los datos ![](https://static.platzi.com/media/user_upload/image-24c0739c-4e26-4d66-a13e-659029a8e6be.jpg)

Analizando por Power BI:

PowerBi es muy buena herramienta si solo quieres visualizar y explorar datos, los datos están en Excel y no son millones.

¿Cuál es la categoría de productos más vendida?

¿Quién es el cliente que compra más?

¿En qué Trimestre (Q) se realizan más ventas?

Lo que hice con Google data estudio…

Mi Aporte con Power Bi

Hola!, buenas tardes este es mi aporte. Las gráficas las realicé en Power BI

![](

  • la categoria mas vendida es tecnologia, * el cliente que compro mas veces es william brown, y en el cuarto trimestre se vende mas

Comparto mi primer Dashboard, el cual, realicé con Google Data Studio: (el tema de los trimestres me limitó un poco y lo realicé general por años). https://lookerstudio.google.com/reporting/4823215e-f990-4bed-a98e-f40733d6f911

Al igual también lo realicé en excel, comparto el resultado:

Realizado con Power BI.
En el grafico de pie se observan los 8 estados con mayor suma de ventas (filtro top 8).
En el grafico de análisis de productos, se analizan los 15 productos mas vendidos y su margen de ganancia. Podemos observar que algunos productos generan una gran cantidad de ventas pero no generan ingresos. Se deberia realizar un analisis mas exhaustivo para ver si es conveniente seguirlos ofreciendo o sacarlos del negocio.
Por ultimo, en el grafico de ventas y margen por ciudad, se analizan las ciudades con mayor cantidad de ventas y su margen. Al igual que pasa con los productos, hay ciudades que generan ventas pero no dan ingresos. Se deberia modificar algunas caracteristicas del negocio en las mismas para que el mismo sea redituable.

La categoría que más venta tiene es la de tecnología al igual que cuenta con un tiempo promedio de entrega de 3.92 días. Adicional a ello se identifica que en las tres categorías se genera un pico en las ventas en el ultimo trimestre de cada año.

Les comparto la vista de mi primer dashboard en Power bi.

¿Cuál es la categoría de productos más vendida?

**Technology **es la categoría que más ventas registra con un total de $836,154.03 en ventas, también es la que mas profit genera con un total de $145,454.95
Furniture Es la segunda categoría con más ventas pero no la segunda en profit, pues tiene $741,999.80 en ventas y tan solo $18,451.27 en profit.
Office Supplies Es la tercera en ventas pero tiene una diferencia considerable respecto al profit que genera comparada con Furniture. Tiene $719,047.03 en ventas y $122,490.80 en profit.

¿Quién es el cliente que compra más?

El cliente que mas ventas registra es Sean Miller con $50,086.10 en ventas, sin embargo el profit que genera el sr Miller es negativo, con -$1,980.74 de Profit.
Los mejores 3 clientes por ventas y profit son Tamara Chand, Raymond Buch y Sanjit Chand

¿En qué Trimestre (Q) se realizan más ventas?

Los mejores trimestres históricamente han sido el Q4

Esto es otro mundo!!!
Este es mi primer intento de Dashboard. A pesar de que se ve sencillo, esto requiere una lógica importante para saber cómo manejar los datos para una correcta visualización. Muy interesante.

Veo que me toca aprender un montón…

Buenas dias lo hice con Power BI

En Power BI

¿En qué trimestre (Q) se realizan más ventas?

Se visualiza que en el Q4:

Hola, como estoy empenzando pense hacer algo con Power Bi. 😎

Respuesta a las preguntas del ejercicio:

El análisis de la base de datos se realizó en Power BI, a continuación se muestran los resultados relevantes.

¿Cuál es la categoría de productos más vendida?
Como se ve en la gráfica la categoría Office supliers tuvo mayor cantidad de ventas, con un total de 6026 ventas.

¿Cuál es la categoría de productos con mayores ventas (en dinero)?
Por otro lado, la categoría que mayor ventas generó en dinero, fue la categoría Technology con un total de 836,15 mil.

¿Quién es el cliente que compra más?
Se realiza en top 10 de los clientes con mayor valor de las compras, y tenemos que Sean Miller fue el cliente que más compró con un total de 15 compras, que se traducen en 25.043 dólares.

¿En qué Trimestre (Q) se realizan más ventas?
El trimestre que más ventas se realizan es el cuarto trimestre (octubre-diciembre); esto puede ir ligado a las festividades de fin de año que impulsan y propician las ventas. Mientras que, el trimestre de menos ventas es el primero (enero-marzo); y esto puede ser por el rezago de las festividades y la reducción de gastos de las familias producto del endeudamiento generado al final del año anterior.

Fua, no es ni la mitad de lo que se me ocurrió para hacer.

Para este primer analisis se puede observar que no hay una dependencia por ciertos productos en las ventas, sino que estan claramente diversificados en sus tres ramas, technology, furniture y office suplies, tambien que durante el periodo evaluado hay una diversificacion en sus ventas por segmento de clientes y no ser totalmente dependiente de un solo segmento, aunque cerca del 50% de las ventas son al consumidor y el 47% de las utilidades son al segmento consumo, tambien es notable una preferencia por los envios standard al ser cerca del 60% de lso envios, seguidos de second class con cerca del 20% de los envios, el tiempo medio de envioes de 3.96 dias, aunque este puede variar dependiendo del estado, tambien el promedio de ventas se ve feurtemente afactado ya que en algunos estados las ventas son bastante elevados, mientras que en otros las ventas pueden lleagr a ser minimas en compracion con otros estados, ademas se puede observar como solo 5 estados son cerca de la mitad de los ingresos.

Se puede observar inicialmente como las ventas han venido creciendo de manera constante salvo por el 2015, donde se decrio un 3% en las ventas frente al 2014, de alli en adelante se mantuvo un crecimiento superior al 20% en las ventas, tambien se puede observar que no dependen de una unica categoria de productos de ventas, sino que estan bastante diverdificados en sus ventas, tambien es observable como se mantiene el crecimiento trimestre tras trimestre, con caidas en las ventas solo reflejadas para el q1 frente al q4, dado que se presentan bastantes estacionalidades en el Q4 que hacen que las ventas se vean fuertemente incrementada, por ultimo se puede ver como el segemnto de clientes mas rentable es el de consumer generandocerca del 50% de las ganancias estando asi correlacionado con su % de ventas.

En este se puede ver como el segmento menos rentable de todos es el de furniture, con solo 6% de las utilidades, tambien mostrando una baja rentabilidad frente a las ventas realizadas por este medio, teniendose que reevaluar la categoria de productos, por otra parte home office pese a ser la categoria de ventas mas pequeña es la mas rentable respecto a sus ventas, ya que si se observa proporcionalmente a su nivel de ventas es mucho mas rentable que las demas categorias, y finalmente technology esta correlacionada con su nivel de ventas y utilidades.
En cuanto a las ventas por regiones, es obsevable que estas son relativamente equilibradas y no hay dependencia de una sola region, presentando correlacion entre el nivel de ventas y el nivel de ganancias por region, Tambien es observable un crecimiento constante de las ganancias, aunque ha venido disminuyendio el crecimiento durante el ultimo año, pasando de 33% de crecimiento de utilidades, frente a un 14% de crecimiento de utlidades.


En este ultimo recuadro se pueden observar como las ventas son lideradas pro 10 estados, al igual que las utilidades, tambein es observable que hay 10 estados que puierden dinero siendo asi el 20% de los estados los que pierden dinero para la comprañia. en algunos podria deberse a un constante crecimiento o liquidacion de productos lo cual genera estas perdidas.

He realizado mi práctica con Data Studio.

Ahora realicé el informe más completo:
https://datastudio.google.com/reporting/9116b0e7-e854-467e-a17b-f73efc861a82

Si alguien quiere comentar algo, bienvenido 😃)))

Mi solución al reto propuesto:
En mi caso yo utilice Tableau Publlic y la data viz puede ser encontrada en:
https://public.tableau.com/app/profile/heberto.nicol.s.hern.ndez.andrade/viz/SuperStoreData_fundamentos_viz/Dashboard1?publish=yes

RETO: Superstore

¿Qué descubrimiento o resultado de gran relevancia encontraste analizando la base de datos de Super Store Data?

Por tanto, podemos aplicar un descuento hasta un 20%, de tal manera aún poder tener ganancias, caso contrario estaremos entrando en pérdida en las diferentes categorías.

Buenos dias compañeros, les comparto mi progreso, realice la actividad con PowerBI y son mis primeros pasos con la herramienta, utilicé algunos filtros para obtener algunos datos mas específicos como los clientes por año y por región, asi como algunas subcategorías, me gusto mucho PowerBI, esperemos seguir practicando y mejorando. Saludos!

¿Cuál es la categoría de productos más vendida?
La categoría de producto mas vendida en casi todas las regiones fue la de tecnología, siendo west la única en la que en total de ventas a lo largo de los 4 años analizados la categoría que representó mas ventas fue la de muebles. Esto por que era lo que mas se vendía en años anteriores, en años recientes la categoría con mas ventas fue tecnología al igual que el resto de las regiones ya que tuvo un aumento muy importante. A su vez siendo celulares y tabletas las subcategorías más vendidas.

¿Quién es el cliente que compra más?
El cliente que más compra en el periodo de tiempo analizado es Sean Miller
Por año:

  • Cliente que más compra 2014: Sean Miller
  • Cliente que más compra 2015: Peter Fuller
  • Cliente que más compra 2016: Tamara Chand
  • Cliente que más compra 2017: Raymond Buch

Por región:

  • Cliente estrella Central: Tamara Chand
  • Cliente estrella East: Tom Ashbrook
  • Cliente estrella South: Sean Miller
  • Cliente estrella West: Raymond Buch
    Habrá que hacerles saber a dichos clientes lo importante que son para la empresa 😊

¿En qué Trimestre (Q) se realizan más ventas?
El patrón nos indica que en todos los años el trimestre 4 es el que presenta mas ventas. Hay que estar preparados para afrontar con buen stock dichas fechas.

¿Cuáles son los Estados con más ventas?

  1. California
  2. New York
  3. Texas
  4. Washington
  5. Pennsylvannia

Estados con más ventas por región:

  • Central: Texas, Illinoes, Michigan Indiana y Wisconsin.
  • East: New York, Pennsylvannia, Ohio, New Jersey y Massachusetts.
  • South: Florida, Virginia, North Carolina, Georgia y Kentucky.
  • West: California, Washington, Arizona, Colorado y Oregon.

¿Cuáles son los estados con menos profit o incluso perdidas?

  1. Texas
  2. Ohio
  3. Pennsylvania
  4. Illinois
  5. North Carolina

Estados con menor profit por región:

  • Central: Texas, Illinoes, North Dakota, South Dakota y Kansas.
  • East: Ohio, Pennsylvania, West Virginia, Maine y District of Columbia.
  • South: North Carolina, Tennessee, Florida, South Carolina y Louisiana
  • West: Colorado, Arizona, Oregon, Wyoming y Idaho.
  1. La categoría más vendida es la de Technology. En esta misma categoría pero por segemento, el de consumo es donde se concentra más dichas ventas netas.

  2. El mejor cliente desde el año 2014 es Sean Miller, al que se le ha vendido un poco más de 24,500 dólares con apenas unas 4 órdenes, lo que significa que a pesar que no tiene tantas órdenes implica que hay productos que le han llamado su atención.

  3. El mejor trimestre en las ventas netas desde el año 2014 al 2,017 has sido el tercer trimestre del año 2,017 registrando un poco más de 27,800 dólares.

Les comparto mi visualización.

Respondiendo las preguntas…:
¿Cuál es la categoría de productos más vendida?
Technology

¿Quién es el cliente que compra más?
Jonathan Doherty 150 unidades

¿En qué Trimestre (Q) se realizan más ventas?
Trimestre 4

Aca mi grafica:![](https://static.platzi.com/media/user_upload/image-3f177e36-a2cb-4b16-8934-7ea602d703f4.jpg)
![](https://static.platzi.com/media/user_upload/Captura%20de%20pantalla%202024-05-09%20085212-52dc3cd4-b3af-4ffc-bf2b-a119f2086227.jpg)

gracias
![]()![]()![](https://static.platzi.com/media/user_upload/image-f8348894-7b02-461c-802a-6bcb1dd6c61a.jpg)
1. ¿Cuál es la categoría de productos más vendida? ![]()![](https://static.platzi.com/media/user_upload/image-ccbaf411-716e-4b07-88c7-57fad3294067.jpg) La categoría de productos más vendida es la de Technology. 1. ¿Quién es el cliente que más compra? ![]()![](https://static.platzi.com/media/user_upload/image-e5b93246-fa74-420b-a18c-5f606a918d29.jpg) En esta grafica se muestra que Sean miller es el mayor comprador. 1. ¿En qué trimestre se realizaron más ventas? No pude realizar el ultima ya que no puede acceder a los periodos
mi análisis a categoría de productos más vendida fue consumer cliente que compra más fue ZD-21925 año de mas ventas fue 2017 el cuatrimestre 4 ![](https://static.platzi.com/media/user_upload/image-6b846fc9-5ef5-41d3-9627-4bfb859f4259.jpg)
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Muy interesante el ejercicio!! He descubierto que nuestro "mejor cliente" realmente nos genera beneficio negativo, es decir, nos cuesta dinero mantenerlo en nuestra cartera de clientes. (por supuesto no se están evaluando aspectos como periodos medios de pago o aspectos similares que resulten útiles para mantener la liquidez en la empresa). ![](https://static.platzi.com/media/user_upload/image-5559cbcf-e281-4d05-89df-2976ac4bf822.jpg) He utilizado Power BI. En la imagen esta aplicado el filtro del cliente Sean Miller, y he aplicado un formato condicional en la tarjeta de beneficio para que resalte en rojo aquellos valores que son negativos.
![](https://static.platzi.com/media/user_upload/image-a956eb74-37f8-44b5-9a6b-31db7ef37944.jpg)![](https://static.platzi.com/media/user_upload/image-8afccb6c-a1bf-400c-a7f5-94860b0826e7.jpg)
holaaaa, de mi parte realicé la practica con las graficas de Excel pero no hice dashboard para poder explicar o para que lo puedan ver de mejor manera. A continuación van a ver mis respuestas de las preguntas con su respectiva grafica. 1. **la categoría que mas vendió:** Es **Technology** con una diferencia mas notable que las demás. ![](https://static.platzi.com/media/user_upload/CATEGORIAS%20POR%20VALOR%20DE%20LA%20VENTAS-76998302-717a-41ad-9b0a-79e214645859.jpg) 1. **El cliente que más compra:** **Sean Miller.** ![](https://static.platzi.com/media/user_upload/TOP%20CLIENTES%20POR%20VALOR%20DEL%20PRODUCTO-9c6a56df-15b4-467f-9b19-47b183244182.jpg) 1. **El Trimestre donde los clientes más compran:** El **cuarto Trimestre** fue en el que anualmente los clientes más compran. ![](https://static.platzi.com/media/user_upload/COMPRAS%20DE%20LOS%20CLIENTES%20POR%20TIMESTRE-255c2c23-908e-4f16-99e2-abb91083a4f2.jpg) **Gracias por haber visto mi proyecto,** de aquí en adelante van a estar mis preguntas sobre los datos. * **Cuantos productos se vendieron por cada categoría en base a la región?:** ![](https://static.platzi.com/media/user_upload/UNIDADES%20VENDIDAS%20POR%20CATEGORIA%20Y%20REGION-1ce3f672-31ce-400e-a416-b0b342367e3c.jpg) Se puede notar que en todas las regiones la categoría **Office Supplies es la que mas productos compran.** * **Cuantos productos compran cada tipo de cliente?:** ![](https://static.platzi.com/media/user_upload/CANTIDAD%20DE%20COMPRAS%20POR%20TIPO%20DE%20CLIENTE%20%28SEGMENT%29-dfa58c1e-5522-485b-b4a6-990ae2ab7e6e.jpg) Según la grafica el **Consumer es el que mas productos compra.** * **Cual es el porcentaje de ganancias por los tipos de clientes?:** ![](https://static.platzi.com/media/user_upload/PORCENTAJE%20DE%20GANANCIAS%20%28PROFIT%29%20POR%20TIPO%20DE%20CLIENTE-9b26183c-9d66-4105-9a42-8d4570e5b8b6.jpg) De Igual manera el **Consumer es el que mas ganancias trae** por tanto se puede decir que **el Consumer es el mas rentable** seguido del Corporate y por ultimo el Home Office. * **Cuales son los clientes que mas productos compran?:** ![](https://static.platzi.com/media/user_upload/TOP%20CLIENTES%20QUE%20MAS%20PRODUCTOS%20COMPRAN-c0ddd8de-b59f-47af-ba4f-aaeabeb564dc.jpg) Esta pregunta surge por que no sabia a que se refería la segunda pregunta de la practica (si a cantidad o a valor del producto) así que hice esta grafica por si acaso Según la grafica **Jonathan Doherty es el que mas compró**, como no salió en la grafica pasada entonces se puede intuir que aunque compren mucho no significa que generen muchos ingresos, lo cual es cierto. **gracias por ver mi practica, si ven que se pudo haber mejorado de alguna manera no duden en decírmelo, gracias**
![](https://static.platzi.com/media/user_upload/image-824a043b-4ab4-4598-9cde-478e1429a05e.jpg)Lo que podemos analizar como punto de partida. Las ventas del 2017 es el año con mejores ventas, impulsados por office supplies. Technology el categoría mas rentable en relación profit por unidad vendida.
![](https://static.platzi.com/media/user_upload/image-ec02164c-b5f7-448a-ba81-27a665b24043.jpg)Estoy confundido, me tomo preguntarle a alguien que sabe de exel para llegar a este punto, no vi ningun video enseñando a hacer esto.
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Aquí mi análisis usando Power Bi ![](https://static.platzi.com/media/user_upload/image-1f933316-6aba-4699-a124-45a089805e66.jpg)
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Justo vine a este curso a aprender cómo se comportan las gráficas antes de aprender a graficar con matplotlib, pero les muestro las conclusiones del análisis que hice y me ayudaría si me dijeran cómo se les ocurre graficar estos datos además de mediante tabla **Clientes destacados por número de transacciones que realiza:** ```js clientes_destacados=datos.loc[:,("Customer ID","Customer Name",)].value_counts()[lambda x:x>=25].reset_index().rename(columns={0:'Total of transactions'}) clientes_destacados.head(10) ```Customer ID Customer Name WB-21850 William Brown 37 PP-18955 Paul Prost 34 JL-15835 John Lee 34 MA-17560 Matt Abelman 34 SV-20365 Seth Vernon 32 JD-15895 Jonathan Doherty 32 CK-12205 Chloris Kastensmidt 32 EH-13765 Edward Hooks 32 EP-13915 Emily Phan 31 ZC-21910 Zuschuss Carroll 31 **Productos más populares por número de transacciones:** ```js productos_destacados=datos.loc[:,("Product ID","Product Name")].value_counts()[lambda x:x>=12] productos_destacados ```Product ID Product Name TEC-AC-10003628 Logitech 910-002974 M325 Wireless Mouse for Web Scrolling 15 FUR-CH-10002647 Situations Contoured Folding Chairs, 4/Set 15 FUR-CH-10002880 Global High-Back Leather Tilter, Burgundy 14 OFF-BI-10001524 GBC Premium Transparent Covers with Diagonal Lined Pattern 14 FUR-CH-10003774 Global Wood Trimmed Manager's Task Chair, Khaki 14 FUR-CH-10004287 SAFCO Arco Folding Chair 13 OFF-LA-10001613 Avery File Folder Labels 13 OFF-BI-10004140 Avery Non-Stick Binders 13 OFF-ST-10001490 Hot File 7-Pocket, Floor Stand 13 OFF-BI-10004970 ACCOHIDE 3-Ring Binder, Blue, 1" 13 OFF-BI-10000145 Zipper Ring Binder Pockets 13 OFF-BI-10000301 GBC Instant Report Kit 13 FUR-TA-10001095 Chromcraft Round Conference Tables 13 TEC-AC-10003038 Kingston Digital DataTraveler 16GB USB 2.0 13 OFF-BI-10000977 Ibico Plastic Spiral Binding Combs 13 OFF-BI-10004728 Wilson Jones Turn Tabs Binder Tool for Ring Binders 13 OFF-BI-10001597 Wilson Jones Ledger-Size, Piano-Hinge Binder, 2", Blue 12 OFF-BI-10000343 Pressboard Covers with Storage Hooks, 9 1/2" x 11", Light Blue 12 OFF-BI-10000546 Avery Durable Binders 12 OFF-BI-10002012 Wilson Jones Easy Flow II Sheet Lifters 12 FUR-CH-10000454 Hon Deluxe Fabric Upholstered Stacking Chairs, Rounded Back 12 OFF-BI-10001658 GBC Standard Therm-A-Bind Covers 12 OFF-PA-10000474 Easy-staple paper 12 TEC-AC-10004510 Logitech Desktop MK120 Mouse and keyboard Combo 12 FUR-FU-10002364 Eldon Expressions Wood Desk Accessories, Oak 12 OFF-PA-10001970 Xerox 1881 12 OFF-BI-10003291 Wilson Jones Leather-Like Binders with DublLock Round Rings 12 OFF-BI-10003676 GBC Standard Recycled Report Covers, Clear Plastic Sheets 12 FUR-FU-10004973 Flat Face Poster Frame 12 OFF-BI-10004364 Storex Dura Pro Binders 12 OFF-ST-10000563 Fellowes Bankers Box Stor/Drawer Steel Plus 12 OFF-ST-10003716 Tennsco Double-Tier Lockers 12 OFF-ST-10000736 Carina Double Wide Media Storage Towers in Natural & Black 12 OFF-ST-10003208 Adjustable Depth Letter/Legal Cart 12 FUR-TA-10003473 Bretford Rectangular Conference Table Tops 12 **Categorías más populares por número de transacciones:** ```js categorias_destacadas=datos.loc[:,('Category','Sub-Category')].value_counts() categorias_destacadas ```Office Supplies Binders 1523 Paper 1370 Furniture Furnishings 957 Technology Phones 889 Office Supplies Storage 846 Art 796 Technology Accessories 775 Furniture Chairs 617 Office Supplies Appliances 466 Labels 364 Furniture Tables 319 Office Supplies Envelopes 254 Furniture Bookcases 228 Office Supplies Fasteners 217 Supplies 190 Technology Machines 115 Copiers 68 **Productos más importantes por dinero que generan a la empresa:** ```js productos_mas_rentables=productos_mas_rentables.sort_values(ascending=False) productos_mas_rentables.head(10) ```Canon imageCLASS 2200 Advanced Copier 25199.9280 Fellowes PB500 Electric Punch Plastic Comb Binding Machine with Manual Bind 7753.0390 Hewlett Packard LaserJet 3310 Copier 6983.8836 Canon PC1060 Personal Laser Copier 4570.9347 HP Designjet T520 Inkjet Large Format Printer - 24" Color 4094.9766 Ativa V4110MDD Micro-Cut Shredder 3772.9461 3D Systems Cube Printer, 2nd Generation, Magenta 3717.9714 Plantronics Savi W720 Multi-Device Wireless Headset System 3696.2820 Ibico EPK-21 Electric Binding System 3345.2823 Zebra ZM400 Thermal Label Printer 3343.5360 **Clientes más importantes por dinero aportado a la empresa:** ```js clientes_mas_importantes=datos.groupby(['Customer Name',"Customer ID"])['Profit'].sum() clientes_mas_importantes=clientes_mas_importantes.sort_values(ascending=False) clientes_mas_importantes.head(15) ```Customer Name Customer ID Tamara Chand TC-20980 8981.3239 Raymond Buch RB-19360 6976.0959 Sanjit Chand SC-20095 5757.4119 Hunter Lopez HL-15040 5622.4292 Adrian Barton AB-10105 5444.8055 Tom Ashbrook TA-21385 4703.7883 Christopher Martinez CM-12385 3899.8904 Keith Dawkins KD-16495 3038.6254 Andy Reiter AR-10540 2884.6208 Daniel Raglin DR-12940 2869.0760 Tom Boeckenhauer TB-21400 2798.3689 Nathan Mautz NM-18445 2751.6849 Sanjit Engle SE-20110 2650.6769 Bill Shonely BS-11365 2616.0644 Harry Marie HM-14860 2437.9836
Respuestas a tres preguntas con tablas dinámicas en Excel: **¿Cuál es la categoría de productos más vendida?** **¿Quién es el cliente que compra más?** **¿En qué Trimestre (Q) se realizan más ventas?** ![](https://static.platzi.com/media/user_upload/P1-0010a53f-10b1-4ee2-90b7-7d9582837932.jpg)![](https://static.platzi.com/media/user_upload/P2-1d38d83a-f517-4895-9cbf-756cc003e317.jpg)![](https://static.platzi.com/media/user_upload/P3-7a7187e8-ae02-489c-938d-f66807ce1a8d.jpg)
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Comparto mi visualización ;) Elaborado en Power BI: ![](https://static.platzi.com/media/user_upload/image-21f206b2-c4a3-4403-aacb-aa0d4b7ef471.jpg)

Este ejercicio no lo comprendia tanto en excel. En cambio con python se me hizo mas facil su maqueteo y la forma de obtener los resultados. Lo recomiendo para las personas que dominan las librerias de pandas, numpy, matplotlib y seaborn.

Pandas y matplotlib

Hola estimado, lo solicitado a continuación: 1\. Categoría de productos más vendida: Respuesta: Technology $836,154.03 2\. Cliente que compra más: Respuesta: Christopher Conant $12,129.07 3\. Trimestre con más ventas: Respuesta: Trimestre 4 $878,077.56 Adjunto una imagen que lo muestra. ![](https://static.platzi.com/media/user_upload/image-5aa9c46b-4072-4058-a79a-8ee00abcb741.jpg)
Me da error al cargar en google data, que hay un error en la primera fila
![](https://static.platzi.com/media/user_upload/image-c60c8663-8aa0-4889-84d2-0145e24e2cf6.jpg)Haciendo mi gran esfuerzo en esto de contar historias
1\) La categoría que más vende es "Technology" ![]()![](https://static.platzi.com/media/user_upload/image-d5c36d7b-cba5-48af-aaf8-c50870ce23ca.jpg) 2\) El cliente que más compra es Sean Miller ![]()![](https://static.platzi.com/media/user_upload/image-c11bf9a6-2dde-445e-8b80-78bd5e1fd294.jpg) 3\) Independientemente del año, el trimestre que más venta fue el cuarto ![]()![](https://static.platzi.com/media/user_upload/image-494b1f1a-24de-4367-8353-f672823950c7.jpg)
![](https://static.platzi.com/media/user_upload/image-0646e0c1-163f-4154-baa0-438ed021c7c2.jpg)
![]()hola
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* **¿Cuál es la categoría de productos más vendida?** * **R. TECHNOLOGY.** ![](https://static.platzi.com/media/user_upload/image-055d3dce-4463-451c-8339-b9b4bb02022e.jpg) * **¿Quién es el cliente que compra más?** * **R. Sean Miller.** ![](https://static.platzi.com/media/user_upload/image-1566dd2d-043c-4681-bbcb-0d92704bdfb3.jpg) * **¿En qué Trimestre (Q) se realizan más ventas?** * **R. En Q4 de todos los años.** ![](https://static.platzi.com/media/user_upload/image-b2eaeba6-9afa-4f1b-9ef6-daa68f75c34d.jpg)
Respondiendo a las 3 preguntas: * **¿Cuál es la categoría de productos más vendida?** * 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) Me salió Tecnología ![]()![]() * **¿Quién es el cliente que compra más?** 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)Sean miller * **¿En qué Trimestre (Q) se realizan más ventas?** * 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) 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