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Description
EQUIPO DE NEFROSTOMIA PERCUTANEA, CONSTA DE: CATETER MALECOT DE POLIURETANO O POLIETILENO, RADIOPACO, CAL 14 FR, LONG 30 CM, GUIA DE ALAMBRE 0.038" DE DIAMETRO X 80 CM DE LONG, CON PUNTA DE SEGURIDAD EN "J" 3 MM, DILATADORES
IMSS product code
060.345.0289.03
Each circle represents one of the 2 purchases of EQUIPOS made by the IMSS between 2013 and 2013.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 2 | 11,365.1 MXN | 1,829.3 MXN | 18.7 % | 0.373 | 10 de diciembre de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| GOPY MEDICAL S.A DE C.V. | 1 | - MXN | - | - | 2013 - 2013 |
| SISTEMAS HOSPITALARIOS DALCA S.A DE C.V. | 1 | 1,829.3 MXN | 37.3 % | 0.373 | 2013 - 2013 |
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=060.345.0289.03")
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=060.345.0289.03')
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=060.345.0289.03')