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Description
CALDO DE LACTOSA ADICIONADODE MUG TA.
IMSS product code
080.610.0996.03
Each circle represents one of the 10 purchases of MEDIOS DE CULTIVO CALDOS made by the IMSS between 2009 and 2015.
| 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 | 5 | 17,183.8 MXN | 2,813.9 MXN | 29.3 % | 3.03 | 16 de enero de 2015 |
| Delegación Aguascalientes Almacen Delegacional En Aguascalientes | Aguascalientes | 2 | 5,004.8 MXN | 835.6 MXN | 19.4 % | 1.17 | 2 de noviembre de 2011 |
| Delegación Norte del DF Almacen Delegacional En El D.f. Zona Norte | Ciudad de México | 2 | 16,122.9 MXN | 66.2 MXN | 0.672 % | 0.0806 | 24 de enero de 2012 |
| H. de Cardiología, Centro Médico Nacional Siglo XXI Umae Cardiologia C.m.n. Siglo Xxi | Ciudad de México | 1 | 10,143.1 MXN | 7,086.9 MXN | 231.9 % | 4.64 | 19 de junio de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| RAMIREZ ROMERO JESUS ARMANDO | 5 | 2,631.8 MXN | 26.1 % | 2.71 | 2009 - 2015 |
| ABALAT, S.A. DE C.V. | 1 | 66.2 MXN | 1.34 % | 0.0806 | 2010 - 2010 |
| COMERCIAL BIOMEDICO JR. S. A. DE C. V. | 1 | 562.8 MXN | 22.8 % | 0.685 | 2010 - 2010 |
| DESARROLLO Y TECNOLOGIA EMPRESARIAL, S.A. DE C.V. | 1 | 7,086.9 MXN | 231.9 % | 4.64 | 2012 - 2012 |
| QUIMICA DE AGUASCALIENTES, S.A. DE C.V. | 1 | 272.8 MXN | 16 % | 0.48 | 2011 - 2011 |
| QUIMICA INDUSTRIAL Y DE SALUD, SA DE CV | 1 | 182 MXN | 16 % | 0.32 | 2014 - 2014 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=080.610.0996.03")
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=080.610.0996.03')
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=080.610.0996.03')