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Description
TRYPANOSOMA CRUZI. REACTIVO ELISA PARA DETECCION DE ANTICUERPOS CONTRA TRYPANOSOMA CRUZI EN SUERO O PLASMA, MEDIANTE EL USO DE ANTIGENOS RECOMBINANTES O PURIFICADOS. INCLUYE CONTROLES. SOLICITAR POR NUMERO DE PRUEBAS. RTC. EQUIPO
IMSS product code
080.784.7538.02
Each circle represents one of the 1 purchases of REACTIVOS Y JUEGOS DE REACTIVOS PARA PRUEBAS ESPECÍFICAS made by the IMSS between 2009 and 2009.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 3,795 MXN | 495 MXN | 15 % | 0.45 | 19 de marzo de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ACCUTRACK, S. A. DE C. V. | 1 | 495 MXN | 15 % | 0.45 | 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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Choose the system where you want to use the data to see the instructions. For research methodology, see the Manual for investigating open contracting.
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=080.784.7538.02")
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=080.784.7538.02')
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=080.784.7538.02')