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Description
FITOHEMAGLUTININA TIPO M RTC
IMSS product code
080.783.8248.02
Each circle represents one of the 5 purchases of SUSTANCIAS BIOLÓGICAS made by the IMSS between 2009 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Puebla Almacen Delegacional En Puebla | Puebla | 2 | 7,021.3 MXN | 968.4 MXN | 16 % | 3.2 | 2 de diciembre de 2010 |
| H. General, "Dr. Gaudencio González Garza" Centro Médico Nacional La Raza Umae Hospital General C.m.n. La Raza | Ciudad de México | 2 | 6,090 MXN | 840 MXN | 16 % | 1.6 | 25 de abril de 2012 |
| Delegación Guerrero | Guerrero | 1 | 2,009.6 MXN | - MXN | - | - | 4 de junio de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| JUAREZ GONZALEZ AMADA | 2 | 840 MXN | 16 % | 1.6 | 2011 - 2012 |
| RAMIREZ ROMERO JESUS ARMANDO | 2 | 968.4 MXN | 16 % | 3.2 | 2010 - 2010 |
| ACCESORIOS PARA LABORATORIOS, S.A. DE C.V. | 1 | - MXN | - | - | 2009 - 2009 |
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=080.783.8248.02")
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=080.783.8248.02')
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=080.783.8248.02')