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Description
MONTADO EN BASE DE MADERA MEDIDAS 6 Y 7 X 15 CMS
Classification
Artículos de consumo. Utiles de oficina
IMSS product code
312.820.0270.00
Each circle represents one of the 18 purchases of SELLO DE GOMA made by the IMSS between 2010 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Baja California Sur Almacen Delegacional En Baja California Sur | Baja California Sur | 5 | 5,150.4 MXN | 1,045.7 MXN | 41.8 % | 4.04 | 18 de septiembre de 2013 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 5 | 3,091.4 MXN | 342.4 MXN | 8.5 % | 0.96 | 22 de diciembre de 2017 |
| Delegación Nayarit Almacen Delegacional En Nayarit | Nayarit | 2 | 684.8 MXN | 20.8 MXN | 8 % | 0.16 | 9 de julio de 2014 |
| H. de Gineco Obstetricia No. 3 "Dr. Víctor Manuel Espinosa de los Reyes Sánchez" La Raza Umae Gineco - Obstetricia La Raza | Ciudad de México | 2 | 1,585.4 MXN | - MXN | - | - | 27 de agosto de 2012 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 1 | 974.4 MXN | 379.4 MXN | 63.8 % | 1.28 | 30 de enero de 2015 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 1 | 249.4 MXN | 55.4 MXN | 28.6 % | 0.286 | 22 de octubre de 2012 |
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 1 | 6,382.3 MXN | 1,165.3 MXN | 22.3 % | 3.13 | 4 de diciembre de 2014 |
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 1 | 487.2 MXN | 67.2 MXN | 16 % | 0.32 | 8 de noviembre de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DOMINGUEZ GONZALEZ SEBASTIANA | 5 | 1,045.7 MXN | 41.8 % | 4.04 | 2012 - 2013 |
| CRUZ MUNGUIA MARTHA OLIVIA | 3 | 310 MXN | 11.6 % | 0.883 | 2013 - 2017 |
| HERNANDEZ AGUILAR ANA ERIKA | 2 | - MXN | - | - | 2012 - 2012 |
| CARLOS ALBERTO CRUZ REYES | 1 | - MXN | - | - | 2014 - 2014 |
| GUZMAN PEREZ MARCELO CLAUDIO | 1 | 379.4 MXN | 63.8 % | 1.28 | 2015 - 2015 |
| JOSE AGUILAR SALAS | 1 | 1,165.3 MXN | 22.3 % | 3.13 | 2014 - 2014 |
| LAZARO VILLEGAS CECILIO | 1 | 67.2 MXN | 16 % | 0.32 | 2011 - 2011 |
| LUCY IBET ALVAREZ LUGO | 1 | 32.4 MXN | 7.71 % | 0.0771 | 2017 - 2017 |
| MORALES LOPEZ DAVID GUILLERMO | 1 | - MXN | - | - | 2015 - 2015 |
| SOTO GIL AMANDO | 1 | 55.4 MXN | 28.6 % | 0.286 | 2012 - 2012 |
| TREVINO CONCHAS MARIA ASUNCION | 1 | 20.8 MXN | 16 % | 0.16 | 2010 - 2010 |
Entity type
Utiles de oficina
Date updated in QQW
3 de octubre de 2022
Source(s)
Part of the project
Organization responsible for the import
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Add this to your code:
library(rjson)
#Read JSON data into R
data <- fromJSON(file="http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=312.820.0270.00")
Add this to your code:
import json, urllib
#Read JSON data into python
response = urllib2.urlopen('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=312.820.0270.00')
data = json.loads(response.read())
Add this to your code:
import pandas as pd
#Read JSON data into pandas
df = pd.read_json('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=312.820.0270.00')