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Description
TROMBOPLASTINA DE ALTA SENSIBILIDAD PARA CONTROL DE PACIENTES CON ANTICOAGULANTES ORALES CON ISI DE 1 +/- 0.08 FRASCO CON 11 ML RTC.
IMSS product code
080.414.0689.11
Each circle represents one of the 3 purchases of SUSTANCIAS BIOLÓGICAS made by the IMSS between 2009 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 3 | 50,792.1 MXN | 6,932.1 MXN | 15.7 % | 46.8 | 1 de enero de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CONTROL TECNICO Y REPRESENTACIONES, S. A. DE C. V. | 3 | 6,932.1 MXN | 15.7 % | 46.8 | 2009 - 2011 |
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=080.414.0689.11")
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=080.414.0689.11')
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=080.414.0689.11')