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Description
PARA LA DETERMINACION DE LA FRACCION MB DE LA CREATINACINASA EN SUERO O PLASMA METODO UV CON ANTICUERPOS MONOCLONALES ANTI CKM, PARA SU USO EN LOS EQUIPOS KONELAB EN TODOS SUS MODELOS RTC
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.760.2426.00
Presentation
CAJA CON 19 VIALES.
Each circle represents one of the 1 purchases of REACTIVO made by the IMSS between 2009 and 2009.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 1 | 7,104.7 MXN | 926.7 MXN | 15 % | 0.3 | 12 de febrero de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| OMEGA REACTIVOS DIAGNOSTICOS, S.A. DE C.V. | 1 | 926.7 MXN | 15 % | 0.3 | 2009 - 2009 |
Entity type
Consumibles de equipos medicos y de laboratorio
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=379.760.2426.00")
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=379.760.2426.00')
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=379.760.2426.00')