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Description
PLASMA HUMANO CON CITRATO Y CON VALOR ANORMAL PARA CONTROLAR EL NIVEL SUPERIOR DE LA TERAPIA CON ANTICOAGULANTES ORALES. FRASCO CON MINIMO 0.5 ML. Y MAXIMO 1 ML.RTC. TA.
IMSS product code
080.823.1948.11
Each circle represents one of the 1 purchases of CONTROLES Y ESTÁNDARES made by the IMSS between 2012 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 1 | 2,143.7 MXN | 295.7 MXN | 16 % | 3.84 | 13 de abril de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ACCUTRACK, S. A. DE C. V. | 1 | 295.7 MXN | 16 % | 3.84 | 2012 - 2012 |
Date updated in QQW
3 de octubre de 2022
Source(s)
Part of the project
Organization responsible for the import
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Choose the system where you want to use the data to see the instructions. For research methodology, see the Manual for investigating open contracting.
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=080.823.1948.11")
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=080.823.1948.11')
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=080.823.1948.11')