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Description
SUERO PARA TIPIFICAR LA SANGRE ANTI KELL. FRASCO CON 2 ML. RTC
IMSS product code
080.081.0533.12
Each circle represents one of the 8 purchases of SUEROS PARA TIPIFICAR LA SANGRE MEDIOS PROTEICOS ENZIMAS Y ANTÍGENOS made by the IMSS between 2010 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 4 | 394,168 MXN | 61,639.7 MXN | 18.2 % | 13.7 | 16 de febrero de 2012 |
| H. de Pediatría, Centro Médico Nacional Siglo XXI Umae Pediatria C.m.n. Siglo Xxi | Ciudad de México | 4 | 35,693.2 MXN | 4,280.3 MXN | 8 % | 1.12 | 18 de marzo de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| PIZAYA MOLINA JAIME ARTURO | 4 | 61,639.7 MXN | 18.2 % | 13.7 | 2010 - 2012 |
| ABALAT, S.A. DE C.V. | 3 | 4,280.3 MXN | 10.7 % | 1.12 | 2010 - 2014 |
| COMERCIALIZADORA LUIV, S. A. DE C. V. | 1 | - MXN | - | - | 2011 - 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=080.081.0533.12")
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=080.081.0533.12')
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=080.081.0533.12')