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Description
SONDAS PARA YEYUNOSTOMIA, ESPECIAL PARA NUTRICION A LARGO PLAZO. DESECHABLE. LONGITUD. 120 CM CALIBRE 20 FR.
IMSS product code
060.830.7138.11
Each circle represents one of the 26 purchases of SONDAS made by the IMSS between 2010 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 7 | 112,335.5 MXN | 15,777.9 MXN | 16.4 % | 12.1 | 14 de diciembre de 2011 | |
| Delegación Chihuahua | Chihuahua | 5 | 14,467.9 MXN | 6,006.2 MXN | 82.5 % | 4.78 | 10 de marzo de 2015 |
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 2 | 25,596.7 MXN | 3,533.8 MXN | 16 % | 3.04 | 9 de marzo de 2016 |
| Delegación Zacatecas Almacen Delegacional En Zacatecas | Zacatecas | 2 | 62,646.8 MXN | 7,303.8 MXN | 8.01 % | 5.77 | 23 de febrero de 2015 |
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 2 | 49,021.5 MXN | 6,742.2 MXN | 16 % | 5.26 | 17 de abril de 2013 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 1 | 35,268.6 MXN | 4,869.2 MXN | 16 % | 3.84 | 5 de febrero de 2010 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 1 | 11,756.2 MXN | 1,623.1 MXN | 16 % | 1.28 | 5 de febrero de 2010 |
| Delegación Nayarit Almacen Delegacional En Nayarit | Nayarit | 1 | 4,640 MXN | 2,128.9 MXN | 84.8 % | 1.7 | 8 de mayo de 2015 |
| Delegación Nayarit | Nayarit | 1 | 1,219 MXN | - MXN | - | - | 15 de agosto de 2012 |
| Delegación Puebla Almacen Delegacional En Puebla | Puebla | 1 | 7,347.6 MXN | 1,014.4 MXN | 16 % | 0.801 | 27 de enero de 2010 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 17,634.3 MXN | 2,434.6 MXN | 16 % | 1.92 | 1 de febrero de 2010 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 5,202.6 MXN | 717.6 MXN | 16 % | 1.92 | 7 de febrero de 2017 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 1 | 1,169.3 MXN | 161.3 MXN | 16 % | 0.32 | 18 de julio de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ESCAMILLA ZENTENO AURORA | 12 | 37,996 MXN | 15.9 % | 29.7 | 2010 - 2013 |
| CODIMEDIC, S. A. DE C. V. | 5 | 6,006.2 MXN | 82.5 % | 4.78 | 2014 - 2015 |
| ULTRA TECNOLOGIA, S.A. DE C.V. | 3 | 5,218.2 MXN | 17.5 % | 4.03 | 2011 - 2011 |
| BIOMA FARMACEUTICA, S.A. DE C.V. | 2 | 2,128.9 MXN | 42.4 % | 1.7 | 2015 - 2015 |
| AVISA MEDICAL, S.A. DE C.V. | 1 | 84.8 MXN | 16 % | 0.32 | 2016 - 2016 |
| BLANCA ESTELA JIMENEZ BECERRIL | 1 | 161.3 MXN | 16 % | 0.32 | 2018 - 2018 |
| GRUPO EMEQUR, S.A. DE C.V. | 1 | 717.6 MXN | 16 % | 1.92 | 2017 - 2017 |
| SATORI IMPULSORA DE ARTICULOS MEDICOS Y ESCOLARES, | 1 | - MXN | - | - | 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=060.830.7138.11")
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=060.830.7138.11')
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=060.830.7138.11')