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Description
CATETER PARA VASOS UMBILICA-LES, ESTERIL, DESECHABLE YRADIOPACOS DE CLORURO DE PO-LIVINILO, CON ACOTACIONES A5, 10 Y 15 CM, CAL 3.5 FR YDE LONG 35 A 38 CM.
IMSS product code
060.167.6638.10
Each circle represents one of the 2 purchases of CATÉTERES made by the IMSS between 2010 and 2013.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Coahuila | Coahuila | 1 | 248.5 MXN | - MXN | - | - | 8 de noviembre de 2010 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 1 | 1,435.5 MXN | 198 MXN | 16 % | 5.28 | 16 de julio de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MERCURIO AX, S.A. DE C.V. | 1 | 198 MXN | 16 % | 5.28 | 2013 - 2013 |
| SOPORTE MEDICO INTEGRAL, S.A. DE C.V. | 1 | - MXN | - | - | 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=060.167.6638.10")
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=060.167.6638.10')
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=060.167.6638.10')