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Description
GLOBULOS ROJOS PARA CONTROLDE COOMBS, CONTROL DE PRUEBADE COMPATIBILIDAD Y ESTUDIODE ALOANTICUERPOS RTC.
IMSS product code
080.783.0930.10
Each circle represents one of the 8 purchases of SUEROS PARA TIPIFICAR LA SANGRE MEDIOS PROTEICOS ENZIMAS Y ANTÍGENOS made by the IMSS between 2009 and 2019.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABALAT, S.A. DE C.V. | 1 | 2,852.9 MXN | 16 % | 5.76 | 2014 - 2014 |
| ABASTECEDOR HOSPITALARIO DEL SURESTE, S.A. DE C.V. | 1 | 156.8 MXN | 16 % | 0.16 | 2013 - 2013 |
| INSTRUMENTOS Y EQUIPOS FALCON, S. A. DE C. V. | 1 | 1,418.9 MXN | 16 % | 1.92 | 2019 - 2019 |
| MIGUEL ANGEL ROSADO MADERA | 1 | 160 MXN | 16 % | 0.64 | 2012 - 2012 |
| QUIMICA DE AGUASCALIENTES, S.A. DE C.V. | 1 | 639 MXN | 17.1 % | 1.71 | 2011 - 2011 |
| QUIMICA INDUSTRIAL Y DE SALUD, SA DE CV | 1 | 567 MXN | 15 % | 1.8 | 2009 - 2009 |
| SOPORTE MEDICO INTEGRAL, S.A. DE C.V. | 1 | 80.2 MXN | 10.7 % | 0.214 | 2011 - 2011 |
| VALBREN DE MEXICO, S.A. DE C.V. | 1 | 1,536 MXN | 16 % | 1.92 | 2015 - 2015 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=080.783.0930.10")
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=080.783.0930.10')
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=080.783.0930.10')