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Description
CANULA PARA TRAQUEOSTOMIA, -DE ELASTOMERO DE SILICON,CAL 30 FR, D.I. 7.0 MM, D.E.10.0 MM.
IMSS product code
060.168.8237.02
Each circle represents one of the 8 purchases of CÁNULAS made by the IMSS between 2010 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 3 | 6,369.3 MXN | 1,488.6 MXN | 39 % | 1.63 | 24 de diciembre de 2014 |
| Delegación Baja California | Baja California | 1 | 2,813.2 MXN | 299.5 MXN | 11.9 % | 0.265 | 10 de marzo de 2010 |
| Delegación Hidalgo | Hidalgo | 1 | 1,220.6 MXN | - MXN | - | - | 23 de marzo de 2010 |
| Delegación Nuevo León | Nuevo León | 1 | 997.9 MXN | - MXN | - | - | 29 de enero de 2010 |
| Delegación Oaxaca | Oaxaca | 1 | 440.8 MXN | - MXN | - | - | 29 de junio de 2010 |
| Delegación Sur del DF Almacen Delegacional En El D.f. Zona Sur | Ciudad de México | 1 | 3,595 MXN | 1,330.4 MXN | 58.7 % | 1.17 | 4 de noviembre de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| COMERCIAL HOSPITALARIA S.A DE C.V. | 1 | 837.8 MXN | 45.8 % | 0.915 | 2014 - 2014 |
| COMERCIAL QUIMICA DEL NOROESTE, S.A. DE C.V. | 1 | - MXN | - | - | 2014 - 2014 |
| CRUZ TOLEDO MARIA DEL CARMEN | 1 | - MXN | - | - | 2010 - 2010 |
| DURFA, S. A. DE C. V. | 1 | - MXN | - | - | 2010 - 2010 |
| GOPY MEDICAL S.A DE C.V. | 1 | 650.9 MXN | 71.1 % | 0.711 | 2014 - 2014 |
| IMSS CENTRO VACACIONAL METEPEC | 1 | 299.5 MXN | 11.9 % | 0.265 | 2010 - 2010 |
| PEDRAZA GARCIA RAFAEL | 1 | 1,330.4 MXN | 58.7 % | 1.17 | 2010 - 2010 |
| VINIMED, S.A. DE C.V. | 1 | - MXN | - | - | 2010 - 2010 |
Date updated in QQW
3 de octubre de 2022
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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=060.168.8237.02")
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=060.168.8237.02')
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=060.168.8237.02')