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Description
EQUIPO ALADO PARA RECOLECCION DE SANGRE, COMPATIBLE CON EL SISTEMA DE RECOLECCION AL VACIO, AGUJA CALIBRE 23 X 19 MM CON TUBO FLEXIBLE DE HULE DE 17.78 CM (7") DE LONGITUD Y BROCHE DE SEGURIDAD. ALAS DE COLOR AZUL CLARO,
IMSS product code
080.235.0959.02
Each circle represents one of the 111 purchases of TUBOS made by the IMSS between 2009 and 2019.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CONSORCIO HOSPITALARIO S. A. DE C. V. | 34 | 117,714.9 MXN | 13.4 % | 211.3 | 2009 - 2018 |
| BECTON DICKINSON DE MEXICO, S.A. DE C.V. | 18 | 43,820.6 MXN | 9.4 % | 78.8 | 2009 - 2016 |
| CONTROL TECNICO Y REPRESENTACIONES, S. A. DE C. V. | 16 | 19,924.3 MXN | 23.8 % | 38 | 2009 - 2018 |
| QUIMICA INDUSTRIAL Y DE SALUD, SA DE CV | 7 | 3,651.5 MXN | 9.23 % | 4.98 | 2012 - 2019 |
| DIKYSA, S. A. DE C. V. | 6 | 468.7 MXN | 7.06 % | 0.749 | 2013 - 2018 |
| CORPORACION ARMO, S.A. DE C.V. | 5 | 11,771.6 MXN | 15.3 % | 20.9 | 2013 - 2016 |
| HOSPITALES Y LABORATORIOS DEL SURESTE, SA DE CV | 3 | 3,565.4 MXN | 11.7 % | 7.89 | 2009 - 2011 |
| COMERCIALIZADORA DIFARMALAV, S.A. DE C.V. | 2 | 3,083.3 MXN | 10.8 % | 3.89 | 2017 - 2018 |
| ABALAT, S.A. DE C.V. | 1 | 1,011.3 MXN | 9.61 % | 1.92 | 2011 - 2011 |
| ABASTECEDOR HOSPITALARIO DEL SURESTE, S.A. DE C.V. | 1 | 4,350.1 MXN | 13 % | 7.8 | 2013 - 2013 |
| APLICACIONES DIAGNOSTICAS NACIONALES S.A. DE C.V. | 1 | - MXN | - | - | 2011 - 2011 |
| COGLOBALIX SA DE CV | 1 | 21,918.3 MXN | 49.6 % | 41.7 | 2011 - 2011 |
| COMERCIAL MEDICA ARZE, S.A. DE C.V. | 1 | 13,593.1 MXN | 27.9 % | 16.7 | 2018 - 2018 |
| COMERCIALIZADORA RIHE SA DE CV | 1 | 27,831.5 MXN | 186.5 % | 56 | 2009 - 2009 |
| EL CIRUJANO, S.A DE C.V | 1 | 499.3 MXN | 30.7 % | 0.615 | 2018 - 2018 |
| EQUIPOS BIOQUIMICOS DE SAN LUIS, S. DE R.L. DE C.V | 1 | - MXN | - | - | 2014 - 2014 |
| EQUIPOS QUIRURGICOS POTOSINOS, S. A. DE C. V. | 1 | 130.1 MXN | 9.85 % | 0.197 | 2016 - 2016 |
| GOMEN HEALTH CARE, S.A. DE C.V. | 1 | - MXN | - | - | 2016 - 2016 |
| HEALTH TECHNOLOGIES, S.A DE C.V. | 1 | 6,561.2 MXN | 125.9 % | 8.81 | 2017 - 2017 |
| MARCAS ESPECIALIZADAS EN DIAGNOSTICO Y REPRESENTAC | 1 | 8,600.1 MXN | 92.9 % | 19.5 | 2012 - 2012 |
| MIMBRERA JIMENEZ EDGAR ROMULO | 1 | 33.4 MXN | 2.06 % | 0.0412 | 2018 - 2018 |
| NADRO, S. A. DE C. V. | 1 | 47,897.1 MXN | 59.7 % | 63.3 | 2014 - 2014 |
| ODICALP, S.A. DE C.V. | 1 | 16,067.1 MXN | 164.8 % | 19.8 | 2018 - 2018 |
| PHARMA OSHA, S. DE R.L. DE C.V. | 1 | 4,687.9 MXN | 52.5 % | 6.3 | 2017 - 2017 |
| QUIMICA EMDRIAN, S. A. DE C. V. | 1 | - MXN | - | - | 2009 - 2009 |
| RODRIGUEZ MENDOZA SALVADOR FERNANDO | 1 | 69.6 MXN | 9.1 % | 0.106 | 2016 - 2016 |
| SUSTANCIAS QUIMICAS Y EMPAQUES, S.A. DE C.V. | 1 | - MXN | - | - | 2014 - 2014 |
| TECSA COMERCIAL NTD S.A. DE C.V. | 1 | 4,054.8 MXN | 35.7 % | 4.99 | 2018 - 2018 |
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=080.235.0959.02")
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=080.235.0959.02')
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=080.235.0959.02')