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Description
PLASMA HUMANO ANORMAL CITRA-TADO PARA CONTROLAR EL NIVELINFERIOR DE LA TERAPIA CONANTICOAGULANTES ORALES FCOCON 0.5 ML O 1 ML RTC.
IMSS product code
080.823.1955.10
Each circle represents one of the 6 purchases of CONTROLES Y ESTÁNDARES 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 | 8,879.7 MXN | 1,186.9 MXN | 16.3 % | 24.2 | 12 de enero de 2011 |
| Delegación Durango Almacen Delegacional En Durango | Durango | 2 | 975.3 MXN | 130.3 MXN | 15.5 % | 2.45 | 11 de abril de 2011 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 1 | 191.4 MXN | 14.2 MXN | 8.02 % | 0.241 | 1 de enero de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ACCUTRACK, S. A. DE C. V. | 6 | 1,331.4 MXN | 14.6 % | 26.9 | 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=080.823.1955.10")
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=080.823.1955.10')
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=080.823.1955.10')