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Description
CATETER PARA ULTRASONIDO INTRACAVITARIO. TIPO: JUDKINS,IZQUIERDO. CALIBRE 3.2 FR.
IMSS product code
060.166.2802.01
Each circle represents one of the 53 purchases of CATÉTERES made by the IMSS between 2009 and 2018.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BOSTON SCIENTIFIC DE MEXICO, S. A. DE C. V. | 37 | 2.3 millones MXN | 15.5 % | 172.2 | 2009 - 2018 |
| MEDICAMEX, S. A. DE C. V. | 5 | 1.4 millones MXN | 19.9 % | 103 | 2011 - 2014 |
| SELECCIONES MEDICAS DEL CENTRO. S. A. DE C. V. | 4 | - MXN | - | - | 2014 - 2015 |
| BIOSTER, S.A. DE C.V. | 2 | - MXN | - | - | 2009 - 2009 |
| CATRANE, S.A. DE C.V. | 1 | 1.6 millones MXN | 16 % | 76.8 | 2018 - 2018 |
| ELECTRONICA Y MEDICINA, S. A. | 1 | 27,397 MXN | 60.2 % | 2.41 | 2011 - 2011 |
| GRUPO EMEQUR, S.A. DE C.V. | 1 | 328.4 MXN | 0.526 % | 0.021 | 2015 - 2015 |
| MEDSTENT, S.A. DE C.V. | 1 | 147,774.9 MXN | 17.8 % | 8.91 | 2017 - 2017 |
| SOLUCIONES MEDCO, S.A. DE C.V. | 1 | 38,038.8 MXN | 11.5 % | 2.29 | 2017 - 2017 |
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=060.166.2802.01")
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=060.166.2802.01')
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=060.166.2802.01')