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Description
CANULA SIMICOE, CON GANCHO PARA SUTURA.
IMSS product code
537.173.1869.01
Each circle represents one of the 6 purchases of CÁNULAS made by the IMSS between 2009 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 1 | 1,468.5 MXN | 133.5 MXN | 10 % | 0.1 | 22 de enero de 2009 |
| Delegación Durango Almacen Delegacional En Durango | Durango | 1 | 2,900 MXN | 405.8 MXN | 16.3 % | 0.325 | 30 de noviembre de 2017 |
| Delegación Guerrero Almacen Delegacional En Guerrero | Guerrero | 1 | 2,470 MXN | 340.7 MXN | 16 % | 0.8 | 13 de septiembre de 2010 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 1 | 682.5 MXN | - MXN | - | - | 30 de agosto de 2017 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 1 | 4,324.5 MXN | 596.5 MXN | 16 % | 0.32 | 3 de noviembre de 2016 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 2,204 MXN | 956.9 MXN | 76.7 % | 0.767 | 11 de julio de 2017 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 2 | 1,362.7 MXN | 46.5 % | 1.09 | 2017 - 2017 |
| DE LA TORRE PEREZ JORGE ARTURO | 1 | 133.5 MXN | 10 % | 0.1 | 2009 - 2009 |
| DEWIMED, S. A. | 1 | - MXN | - | - | 2017 - 2017 |
| HEMOST, S. A. DE C. V. | 1 | 596.5 MXN | 16 % | 0.32 | 2016 - 2016 |
| IQUEO, S.A. DE C.V. | 1 | 340.7 MXN | 16 % | 0.8 | 2010 - 2010 |
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=537.173.1869.01")
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=537.173.1869.01')
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=537.173.1869.01')