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Description
SEPARADOR BENNET, DE HOJA GRANDE.
IMSS product code
535.814.6842.01
Each circle represents one of the 30 purchases of SEPARADORES made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 4 | 26,205.1 MXN | 3,441.1 MXN | 25.2 % | 5.62 | 20 de agosto de 2018 |
| Delegación Durango Almacen Delegacional En Durango | Durango | 3 | 16,241 MXN | 4,190.1 MXN | 35.1 % | 8.82 | 22 de mayo de 2018 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 3 | 2,793.3 MXN | 611 MXN | 21.7 % | 1.3 | 6 de agosto de 2015 |
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 3 | 6,279.3 MXN | 678.1 MXN | 20.1 % | 1.4 | 16 de mayo de 2016 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 2 | 7,000 MXN | 1,668.7 MXN | 105.8 % | 4.23 | 3 de octubre de 2016 |
| Delegación Zacatecas Almacen Delegacional En Zacatecas | Zacatecas | 2 | 2,337.4 MXN | - MXN | - | - | 6 de julio de 2017 |
| Delegación Aguascalientes Almacen Delegacional En Aguascalientes | Aguascalientes | 1 | 1,044 MXN | - MXN | - | - | 8 de agosto de 2018 |
| Delegación Baja California Sur Almacen Delegacional En Baja California Sur | Baja California Sur | 1 | 1,489.4 MXN | 513.4 MXN | 52.6 % | 1.05 | 1 de noviembre de 2012 |
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 1 | 1,310.8 MXN | 383.7 MXN | 41.4 % | 0.828 | 27 de julio de 2017 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 689.9 MXN | - MXN | - | - | 6 de julio de 2010 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 1 | 4,593.6 MXN | - MXN | - | - | 6 de octubre de 2016 |
| Delegación Guerrero Almacen Delegacional En Guerrero | Guerrero | 1 | 9,624.3 MXN | 6,665.9 MXN | 225.3 % | 6.76 | 20 de diciembre de 2010 |
| Delegación Nayarit Almacen Delegacional En Nayarit | Nayarit | 1 | 1,809.6 MXN | - MXN | - | - | 17 de septiembre de 2012 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 1 | 1,656.5 MXN | - MXN | - | - | 3 de noviembre de 2016 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 6,881.3 MXN | 1,883.8 MXN | 37.7 % | 2.64 | 9 de mayo de 2018 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 465.8 MXN | 60.8 MXN | 15 % | 0.15 | 17 de agosto de 2009 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 469.8 MXN | - MXN | - | - | 25 de junio de 2010 |
| Delegación Tabasco Almacen Delegacional En Tabasco | Tabasco | 1 | 3,712 MXN | 557.1 MXN | 17.7 % | 1.41 | 6 de abril de 2015 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 1 | 1,020.8 MXN | 44.8 MXN | 4.59 % | 0.0918 | 26 de abril de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 19 | 8,601.3 MXN | 20.6 % | 16.4 | 2009 - 2018 |
| HEMOST, S. A. DE C. V. | 6 | 1,365.3 MXN | 2.99 % | 3.21 | 2010 - 2017 |
| ASESORIA MEDICA Y EQUIPAMIENTO HOSPIT., SA DE CV | 1 | 1,883.8 MXN | 37.7 % | 2.64 | 2018 - 2018 |
| CORPORATIVO MEGA HERZ, S.A. DE C.V. | 1 | 6,665.9 MXN | 225.3 % | 6.76 | 2010 - 2010 |
| DEWIMED, S. A. | 1 | 1,668.7 MXN | 211.6 % | 4.23 | 2015 - 2015 |
| DURFA, S. A. DE C. V. | 1 | - MXN | - | - | 2010 - 2010 |
| PROVEEDORA MEDICA HOSPITALARIA, S. A. DE C. V. | 1 | 513.4 MXN | 52.6 % | 1.05 | 2012 - 2012 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=535.814.6842.01")
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=535.814.6842.01')
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=535.814.6842.01')