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Description
IMPLANTES. CONFORMADOR DE LA PROTESIS DE OJO. PARA ENUCLEACION. PARA ESFERAS DE METILMETACRILATO TRANSPARENTE. MEDIDAS: 10 MM.
IMSS product code
060.344.0017.11
Each circle represents one of the 9 purchases of IMPLANTES made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 6 | 46,844.9 MXN | 6,461.4 MXN | 16 % | 16.5 | 24 de mayo de 2018 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 4,347 MXN | 554.7 MXN | 14.6 % | 2.05 | 20 de febrero de 2009 |
| H. de Especialidades, "Gral. Div. Manuel Avila Camacho", Centro Médico Nacional, Puebla Umae Especialidades Puebla | Puebla | 1 | 3,440.8 MXN | 461.1 MXN | 15.5 % | 1.7 | 2 de marzo de 2009 |
| H. de Pediatría, Centro Médico Nacional Siglo XXI Umae Pediatria C.m.n. Siglo Xxi | Ciudad de México | 1 | 2,436 MXN | 336 MXN | 16 % | 0.32 | 9 de marzo de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| JOSE ALBERTO SOTO LEON | 3 | 2,016 MXN | 16 % | 3.84 | 2016 - 2018 |
| MEDICAL DIMEGAR, S.A. DE C.V. | 2 | 4,219.8 MXN | 16 % | 12.2 | 2011 - 2011 |
| SUMINISTROS FEGA, S.A. DE C.V. | 2 | 1,015.8 MXN | 15.1 % | 3.75 | 2009 - 2009 |
| ESCAMILLA ZENTENO AURORA | 1 | 225.6 MXN | 16 % | 0.48 | 2012 - 2012 |
| IMPULSORA MEDICA, S. A. DE C. V. | 1 | 336 MXN | 16 % | 0.32 | 2010 - 2010 |
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=060.344.0017.11")
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=060.344.0017.11')
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=060.344.0017.11')