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Description
SEPARADOR BENNET, DE HOJA CHICA.
IMSS product code
535.814.6834.01
Each circle represents one of the 18 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 Durango Almacen Delegacional En Durango | Durango | 2 | 13,576.6 MXN | 3,112.1 MXN | 32.4 % | 5.21 | 30 de noviembre de 2017 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 2 | 4,032.8 MXN | 843 MXN | 21.5 % | 1.55 | 11 de julio de 2017 |
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 2 | 5,371.2 MXN | 196.3 MXN | 5.28 % | 0.317 | 16 de mayo de 2016 |
| Delegación Zacatecas Almacen Delegacional En Zacatecas | Zacatecas | 2 | 1,856 MXN | - MXN | - | - | 6 de julio de 2017 |
| Delegación Aguascalientes Almacen Delegacional En Aguascalientes | Aguascalientes | 1 | 1,450 MXN | - MXN | - | - | 8 de agosto de 2018 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 690.8 MXN | - MXN | - | - | 6 de julio de 2010 |
| Delegación Colima Almacen Delegacional En Colima | Colima | 1 | 2,912.8 MXN | 401.8 MXN | 16 % | 0.64 | 22 de diciembre de 2011 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 1 | 2,296.8 MXN | - MXN | - | - | 6 de octubre de 2016 |
| Delegación Guerrero Almacen Delegacional En Guerrero | Guerrero | 1 | 9,971.7 MXN | 7,156.7 MXN | 254.2 % | 7.63 | 20 de diciembre de 2010 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 1 | 1,482.8 MXN | 90 MXN | 6.47 % | 0.194 | 6 de agosto de 2015 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 5,362 MXN | 957.7 MXN | 21.7 % | 1.3 | 9 de mayo de 2018 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 1,409.4 MXN | - MXN | - | - | 25 de junio de 2010 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 1 | 1,020.8 MXN | 140.8 MXN | 16 % | 0.32 | 26 de abril de 2012 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 1 | 1,209.9 MXN | 281.4 MXN | 30.3 % | 0.606 | 30 de octubre de 2015 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 10 | 4,096 MXN | 12.4 % | 7.08 | 2009 - 2018 |
| NEODREN, S. DE R. L. DE C. V. | 3 | 567.7 MXN | 15.8 % | 1.12 | 2015 - 2016 |
| ASESORIA MEDICA Y EQUIPAMIENTO HOSPIT., SA DE CV | 1 | 957.7 MXN | 21.7 % | 1.3 | 2018 - 2018 |
| CORPORATIVO MEGA HERZ, S.A. DE C.V. | 1 | 7,156.7 MXN | 254.2 % | 7.63 | 2010 - 2010 |
| DURFA, S. A. DE C. V. | 1 | - MXN | - | - | 2010 - 2010 |
| FARMACIA DERMATOLOGICA Y ESPECIALIDADES S.A. DE C. | 1 | 401.8 MXN | 16 % | 0.64 | 2011 - 2011 |
| HEMOST, S. A. DE C. V. | 1 | - MXN | - | - | 2010 - 2010 |
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=535.814.6834.01")
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=535.814.6834.01')
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=535.814.6834.01')