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Description
HORMONA LUTEINIZANTE 1 X 100REACTIVOS PARA PRUEBAS PORRADIOINMUNOANALISIS RTC.
IMSS product code
080.826.0442.02
Each circle represents one of the 5 purchases of REACTIVOS PARA PRUEBAS POR RADIOINMUNOANÁLISIS made by the IMSS between 2009 and 2015.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Norte del DF Almacen Delegacional En El D.f. Zona Norte | Ciudad de México | 3 | 244,078.9 MXN | 28,209.2 MXN | 12.8 % | 7.89 | 1 de enero de 2015 |
| H. de Gineco Obstetricia No. 3 "Dr. Víctor Manuel Espinosa de los Reyes Sánchez" La Raza Umae Gineco - Obstetricia La Raza | Ciudad de México | 2 | 183,229.2 MXN | 30,046 MXN | 19.8 % | 7.91 | 1 de marzo de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ACCESOFARM, S.A. DE C.V. | 2 | 23,902.9 MXN | 16 % | 6.72 | 2011 - 2015 |
| MEDIDORES INDUSTRIALES Y MEDICOS, SA DE CV | 2 | 30,046 MXN | 19.8 % | 7.91 | 2009 - 2010 |
| EMPRESA MEDICA INTERNACIONAL, S. A. DE C. V. | 1 | 4,306.4 MXN | 6.48 % | 1.17 | 2010 - 2010 |
Date updated in QQW
3 de octubre de 2022
Source(s)
Part of the project
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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=080.826.0442.02")
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=080.826.0442.02')
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=080.826.0442.02')