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Description
INJERTOS BIFURCADOS PRECOAGULADOS DE 22 X 10 MM O 22 X 11 MM.
IMSS product code
060.506.1555.11
Each circle represents one of the 24 purchases of INJERTOS made by the IMSS between 2011 and 2018.
| 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 | 18 | 535,468.7 MXN | 132,597.4 MXN | 34 % | 9.94 | 10 de diciembre de 2018 |
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 5 | 427,172.3 MXN | 14,667.5 MXN | 8.78 % | 1.26 | 24 de mayo de 2018 |
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 1 | 91,715.4 MXN | 17,042.9 MXN | 22.8 % | 1.6 | 16 de agosto de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MEDICAMEX, S. A. DE C. V. | 14 | 20,013.7 MXN | 6.67 % | 2.44 | 2012 - 2018 |
| BERNIE MEDICAL, S. A. DE C. V. | 2 | 7,309.9 MXN | 18.8 % | 0.773 | 2011 - 2012 |
| SUMINISTROS MEDICOS DE MEXICO, S.A. DE C.V. | 2 | 6,467.1 MXN | 1.61 % | 0.386 | 2017 - 2018 |
| ASESORIA EN PRODUCTOS MEDICOS, S.A. DE C.V. | 1 | 2,100 MXN | 14.3 % | 0.143 | 2011 - 2011 |
| DESARROLLO Y TECNOLOGIA EMPRESARIAL, S.A. DE C.V. | 1 | 30,729.5 MXN | 45.9 % | 1.83 | 2017 - 2017 |
| INSUMOS Y SOLUCIONES MEDICAS, SA DE CV | 1 | 33,422.1 MXN | 99.7 % | 1.99 | 2017 - 2017 |
| LEVBETH MEDICAL, S.A. DE C.V. | 1 | 41,360.8 MXN | 317.6 % | 3.18 | 2018 - 2018 |
| MED PHONE DE CONTACTO, S. A. DE C. V. | 1 | 5,861.9 MXN | 45 % | 0.45 | 2018 - 2018 |
| MIGUEL ANGEL PEREZ CERNA | 1 | 17,042.9 MXN | 22.8 % | 1.6 | 2016 - 2016 |
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=060.506.1555.11")
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=060.506.1555.11')
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=060.506.1555.11')