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Description
REACCION DE COAGLUTINACION PARA LIQUIDO CEFALORRAQUIDEO RTC. EQUIPO PARA MINIMO 10, MAXIMO 50 DETERMINACIONES. SOLICITAR POR NUMERO DE PRUEBAS.
IMSS product code
080.081.4394.11
Each circle represents one of the 1 purchases of SUSTANCIAS BIOLÓGICAS made by the IMSS between 2011 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades, "Gral. Div. Manuel Avila Camacho", Centro Médico Nacional, Puebla Umae Especialidades Puebla | Puebla | 1 | 19,102.9 MXN | 2,634.9 MXN | 16 % | 0.32 | 2 de abril de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SUSTANCIAS QUIMICAS Y EMPAQUES, S.A. DE C.V. | 1 | 2,634.9 MXN | 16 % | 0.32 | 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=080.081.4394.11")
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=080.081.4394.11')
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=080.081.4394.11')