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Description
SACAROSA Y ROJO DE FENOL, --CALDO UTIL PARA LA CARACTERIZACION DE ENTEROBACTERIAS BASADO EN SU CAPACIDAD DE FER-MENTAR LA SACAROSA ADICIONANDO UREA Y AZUL DE BROMOTIMOLSE PUEDE OBTENER EL SURRACO.
IMSS product code
080.610.2117.02
Each circle represents one of the 2 purchases of MEDIOS DE CULTIVO CALDOS made by the IMSS between 2009 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Pediatría, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco. Umae Pediatria Jalisco | Jalisco | 2 | 4,731.4 MXN | 631.4 MXN | 15.5 % | 3.08 | 1 de enero de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CONSORCIO HOSPITALARIO S. A. DE C. V. | 1 | 262.4 MXN | 16 % | 1.28 | 2010 - 2010 |
| TESSAN GARCIA OMAR FARID | 1 | 369 MXN | 15 % | 1.8 | 2009 - 2009 |
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=080.610.2117.02")
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=080.610.2117.02')
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=080.610.2117.02')