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Description
EQUIPOS INTRODUCTOR DE CATETER ARTERIAL A VENOSO, CONEQUIPO VALVULA HEMOSTATICA, PEDIATRICO. LONGITUD. 15 CM CALIBRE. 5 FR GUIA. 0,025".
IMSS product code
060.345.2269.02
Each circle represents one of the 7 purchases of EQUIPOS made by the IMSS between 2010 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Oncología, Centro Médico Nacional Siglo XXI Umae Oncologia C.m.n. Siglo Xxi | Ciudad de México | 6 | 3,758.4 MXN | 518.4 MXN | 16 % | 1.44 | 14 de noviembre de 2011 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 881.6 MXN | 121.6 MXN | 16 % | 0.32 | 10 de diciembre de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| LEVBETH MEDICAL, S.A. DE C.V. | 6 | 518.4 MXN | 16 % | 1.44 | 2011 - 2011 |
| SISTEMAS HOSPITALARIOS DALCA S.A DE C.V. | 1 | 121.6 MXN | 16 % | 0.32 | 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=060.345.2269.02")
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=060.345.2269.02')
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=060.345.2269.02')