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Description
JERINGAS DE PLASTICO PARA INSUFLAR EL GLOBO DEL CATETERDE DILATACION DE ARTERIS CORONARIAS PARA MANTENER Y MEDIR LA PRESION, CON CAPACIDAD DE 20 CC.
IMSS product code
060.551.2201.11
Each circle represents one of the 133 purchases of JERINGAS made by the IMSS between 2009 and 2019.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BOSTON SCIENTIFIC DE MEXICO, S. A. DE C. V. | 52 | 2.6 millones MXN | 34 % | 4,858 | 2009 - 2019 |
| LEVBETH MEDICAL, S.A. DE C.V. | 23 | 59,066.2 MXN | 386.6 % | 101.7 | 2013 - 2018 |
| CARDISTENT SA DE CV | 22 | 22,320.2 MXN | 184 % | 40.5 | 2016 - 2017 |
| CARDIO-NEF, S.A. DE C.V. | 10 | 283,805.2 MXN | 40.4 % | 676.4 | 2010 - 2018 |
| INSTRUMENTACION BIOMEDICA Y SIST. QUIR., SA CV | 4 | 71,645.4 MXN | 308.1 % | 177.8 | 2009 - 2010 |
| MEDICAMEX, S. A. DE C. V. | 3 | 39,753.8 MXN | 22.2 % | 86.6 | 2011 - 2018 |
| PROMEDICA GARCIA, S. A. DE C. V. | 3 | 116,070.4 MXN | 142.6 % | 218.6 | 2014 - 2018 |
| BIOSTER, S.A. DE C.V. | 2 | 100,998.4 MXN | 188 % | 235.1 | 2009 - 2009 |
| CARDIOPACE, S.A. DE C.V. | 2 | 518,375.4 MXN | 114 % | 830.2 | 2010 - 2013 |
| ESCAMILLA ZENTENO AURORA | 2 | 25,514.7 MXN | 37.7 % | 60.9 | 2010 - 2011 |
| MEDSTENT, S.A. DE C.V. | 2 | 19,743.4 MXN | 66 % | 35.5 | 2016 - 2017 |
| VISORA MEDICA SA DE CV | 2 | - MXN | - | - | 2017 - 2017 |
| ARTIMEDICA, S.A. DE C.V. | 1 | 14,394.2 MXN | 95.7 % | 33.5 | 2009 - 2009 |
| DISENO Y DESARROLLO MEDICO, S.A. DE C.V. | 1 | 7,747.1 MXN | 53.3 % | 12.8 | 2018 - 2018 |
| NETO S.A DE C.V. | 1 | 36,047.5 MXN | 6,548.5 % | 65.5 | 2016 - 2016 |
| PROVEEDORA RM, S. A. DE C. V. | 1 | 3,866.2 MXN | 73 % | 8.76 | 2014 - 2014 |
| SELECCIONES MEDICAS DEL CENTRO. S. A. DE C. V. | 1 | 32,982 MXN | 99.7 % | 74.8 | 2014 - 2014 |
| VELASCO GARCIA MARIA DE JESUS | 1 | 19,745.3 MXN | 547.3 % | 54.7 | 2010 - 2010 |
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=060.551.2201.11")
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=060.551.2201.11')
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=060.551.2201.11')