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Description
TUBOS DE VIDRIO REFRACTARIO PARA DACRIOCISTORRINOSTOMIA LESTER JONES. 3 X 21 MM.
IMSS product code
060.909.1038.11
Each circle represents one of the 6 purchases of TUBOS made by the IMSS between 2009 and 2016.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades, "Dr. Bernardo Sepulveda Gutiérrez" Centro Médico Nacional Siglo XXI Umae Especialidades C.m.n. Siglo Xxi | Ciudad de México | 2 | 31,424.4 MXN | 5,395.5 MXN | 46.3 % | 7.1 | 26 de enero de 2011 |
| Delegación Baja California Sur Almacen Delegacional En Baja California Sur | Baja California Sur | 1 | 5,196.8 MXN | 716.8 MXN | 16 % | 0.32 | 25 de mayo de 2016 |
| Delegación Coahuila | Coahuila | 1 | 515 MXN | - MXN | - | - | 12 de agosto de 2010 |
| H. de Especialidades, "Gral. Div. Manuel Avila Camacho", Centro Médico Nacional, Puebla Umae Especialidades Puebla | Puebla | 1 | 5,980 MXN | 780 MXN | 15 % | 1.5 | 2 de marzo de 2009 |
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 1 | 1,392 MXN | 39.4 MXN | 2.92 % | 0.0583 | 17 de marzo de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ESCAMILLA ZENTENO AURORA | 2 | 819.4 MXN | 8.96 % | 1.56 | 2009 - 2010 |
| MEDICAL DIMEGAR, S.A. DE C.V. | 2 | 5,395.5 MXN | 46.3 % | 7.1 | 2010 - 2011 |
| DURFA, S. A. DE C. V. | 1 | - MXN | - | - | 2010 - 2010 |
| JOSE RENE LOPEZ CAZARES | 1 | 716.8 MXN | 16 % | 0.32 | 2016 - 2016 |
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=060.909.1038.11")
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=060.909.1038.11')
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=060.909.1038.11')