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Description
REACCION DE COAGLUTINACION PARA LIQUIDO CEFALORRAQUIDEO. EQUIPO PARA MINIMO 10 PRUEBAS. RTC.
IMSS product code
080.081.4394.13
Each circle represents one of the 35 purchases of SUSTANCIAS BIOLÓGICAS made by the IMSS between 2011 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Pediatría, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco. Umae Pediatria Jalisco | Jalisco | 12 | 503,879.6 MXN | 68,817.7 MXN | 22.5 % | 10.1 | 27 de octubre de 2017 |
| Delegación Aguascalientes Almacen Delegacional En Aguascalientes | Aguascalientes | 6 | 579,270.9 MXN | 79,775.7 MXN | 17.4 % | 12.1 | 22 de febrero de 2018 |
| H. de Especialidades, "Gral. Div. Manuel Avila Camacho", Centro Médico Nacional, Puebla Umae Especialidades Puebla | Puebla | 5 | 155,790.5 MXN | 47,192.5 MXN | 41.3 % | 7.16 | 29 de enero de 2018 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 3 | 302,760 MXN | 27,060.6 MXN | 11.1 % | 4.22 | 22 de abril de 2016 |
| Delegación Sur del DF Almacen Delegacional En El D.f. Zona Sur | Ciudad de México | 3 | 271,150 MXN | 41,834.7 MXN | 16.6 % | 6.84 | 27 de febrero de 2015 |
| H. General, "Dr. Gaudencio González Garza" Centro Médico Nacional La Raza Umae Hospital General C.m.n. La Raza | Ciudad de México | 3 | 143,732.5 MXN | 43,567.1 MXN | 38.8 % | 6.92 | 27 de agosto de 2013 |
| Delegación Tabasco Almacen Delegacional En Tabasco | Tabasco | 1 | 37,410 MXN | 16,143.7 MXN | 75.9 % | 2.28 | 29 de febrero de 2012 |
| H. de Pediatría, Centro Médico Nacional Siglo XXI Umae Pediatria C.m.n. Siglo Xxi | Ciudad de México | 1 | 13,815.6 MXN | - MXN | - | - | 25 de febrero de 2011 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 1 | 1.9 millones MXN | 239,357.3 MXN | 14.6 % | 33.8 | 19 de diciembre de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BIO LEBEN, S.A. DE C.V. | 11 | 315,312.8 MXN | 10.8 % | 44.9 | 2011 - 2018 |
| MARCAS ESPECIALIZADAS EN DIAGNOSTICO Y REPRESENTAC | 8 | 39,538.9 MXN | 16.4 % | 6.07 | 2013 - 2017 |
| GUTIERREZ CASTA?EDA FERNANDO | 4 | 29,278.8 MXN | 34.5 % | 4.03 | 2011 - 2012 |
| ABALAT, S.A. DE C.V. | 3 | 12,421.3 MXN | 22.6 % | 1.63 | 2011 - 2018 |
| CORPORACION MEDIGROUP S. DE R.L. DE C.V. | 2 | 21,209.3 MXN | 43.7 % | 3.49 | 2012 - 2013 |
| PUBLISALUD, S. A. DE C. V. | 2 | 41,463.6 MXN | 42.1 % | 6.58 | 2012 - 2013 |
| CORPORACION ARMO, S.A. DE C.V. | 1 | 31,488.1 MXN | 43.2 % | 5.19 | 2013 - 2013 |
| LOPEZ BACA EDUARDO | 1 | 41,952.7 MXN | 50.1 % | 7.01 | 2014 - 2014 |
| MEZA VUDOYRA PABLO JUVENTINO | 1 | 1,378 MXN | 22.7 % | 0.227 | 2013 - 2013 |
| PROMELAB COMERCIALIZADORA, S.A. DE C.V. | 1 | 16,143.7 MXN | 75.9 % | 2.28 | 2012 - 2012 |
| SUSTANCIAS QUIMICAS Y EMPAQUES, S.A. DE C.V. | 1 | 13,561.9 MXN | 51 % | 2.04 | 2015 - 2015 |
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=080.081.4394.13")
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=080.081.4394.13')
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=080.081.4394.13')