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Description
COMPLEJO ABC AVIDINA-BIOTINAPEROXIDASA ANTI-CONEJO (POLICLONAL) RTC.
IMSS product code
080.070.1666.01
Each circle represents one of the 31 purchases of SUSTANCIAS BIOLÓGICAS 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 Núm 25, Monterrey, N.L. Umae Especialidades Nuevo Leon | Nuevo León | 9 | 645,272.8 MXN | 88,171.5 MXN | 22.6 % | 8.15 | 13 de marzo de 2014 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 7 | 134,241 MXN | 57,982 MXN | 86 % | 6.72 | 11 de abril de 2014 |
| H. de Especialidades Cardiológicas No. 34, Centro Médico Nacional del Noreste. Umae Cardiologia En Nuevo Leon | Nuevo León | 3 | 63,892.8 MXN | 9,840 MXN | 13.1 % | 1.32 | 3 de octubre de 2017 |
| H. de Especialidades No. 1 Centro Médico Nacional del Bajio, León, Gto. Umae Especialidades Guanajuato | Guanajuato | 3 | 121,355.6 MXN | 17,821.4 MXN | 26.8 % | 0.964 | 19 de diciembre de 2018 |
| H. de Oncología, Centro Médico Nacional Siglo XXI Umae Oncologia C.m.n. Siglo Xxi | Ciudad de México | 3 | 155,525.2 MXN | 10,782.4 MXN | 5.44 % | 0.979 | 1 de enero de 2012 |
| H. de Pediatría, Centro Médico Nacional Siglo XXI Umae Pediatria C.m.n. Siglo Xxi | Ciudad de México | 3 | 28,706.1 MXN | 4,017.1 MXN | 12.5 % | 0.376 | 1 de enero de 2010 |
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 2 | 74,381.2 MXN | 8,803.2 MXN | 8 % | 0.32 | 24 de junio de 2016 |
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 1 | 41,345.7 MXN | - MXN | - | - | 11 de septiembre de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| RAMIREZ ROMERO JESUS ARMANDO | 12 | 67,176.6 MXN | 26.3 % | 7.63 | 2009 - 2015 |
| PRODUCTOS MEDICOS E HIGIENICOS S.A. DE C.V. | 4 | 43,540.3 MXN | 101.1 % | 4.74 | 2009 - 2012 |
| COMERCIAL BIOMEDICO JR. S. A. DE C. V. | 3 | 5,648.4 MXN | 6.11 % | 0.3 | 2010 - 2017 |
| QUIMICOS UNIVERSAL VILLAVICENCIO, S. A. DE C. V. | 3 | 42,106.7 MXN | 33.9 % | 3.85 | 2013 - 2014 |
| CUBILLAS PUNARO MARCO ANTONIO | 2 | 3,945.9 MXN | 32.2 % | 0.644 | 2012 - 2013 |
| INDUSTRIAS BIOSELEC, S.A. DE C.V. | 2 | - MXN | - | - | 2009 - 2012 |
| BIOCARE MEDICAL REPRESENTANTE, S.A. DE C.V. | 1 | 8,803.2 MXN | 16 % | 0.32 | 2016 - 2016 |
| DESARROLLO Y TECNOLOGIA EMPRESARIAL, S.A. DE C.V. | 1 | 4,017.1 MXN | 37.6 % | 0.376 | 2009 - 2009 |
| DIAGNOCELL LABORATORIOS, S.A. DE C.V. | 1 | - MXN | - | - | 2009 - 2009 |
| GRUPO JIM PERTH, S.A. DE C.V. | 1 | 13,875.5 MXN | 16 % | 0.32 | 2018 - 2018 |
| SOPORTE MEDICO INTEGRAL, S.A. DE C.V. | 1 | 8,303.9 MXN | 21.4 % | 0.642 | 2010 - 2010 |
Date updated in QQW
3 de octubre de 2022
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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=080.070.1666.01")
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=080.070.1666.01')
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=080.070.1666.01')