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Description
CATETER PARA DILATACION DE ESOFAGO, LONGITUD DE 180 CM. Y BALON DE 8 CM. DE LONGITUD, TIPO QUANTUM TTC, CALIBRE DEL CATETER 54 FR. MATERIAL PARA CIRUGIA MEDIANTE ENDOSCOPIOS.
IMSS product code
060.165.0427.02
Each circle represents one of the 7 purchases of CATÉTERES made by the IMSS between 2015 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 2 | 25,504.5 MXN | 2,279 MXN | 7.46 % | 0.448 | 23 de abril de 2018 |
| Delegación San Luis Potosí | San Luis Potosi | 2 | 7,551.6 MXN | - MXN | - | - | 5 de mayo de 2017 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 1 | 4,469 MXN | 2,685 MXN | 150.5 % | 1.51 | 25 de marzo de 2015 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 9,283.8 MXN | 2,027.2 MXN | 27.9 % | 0.559 | 17 de abril de 2017 |
| H. de Especialidades No. 1 Centro Médico Nacional del Bajio, León, Gto. Umae Especialidades Guanajuato | Guanajuato | 1 | 6,072.9 MXN | 980.3 MXN | 19.2 % | 0.192 | 15 de noviembre de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| GRUPO EMEQUR, S.A. DE C.V. | 2 | 3,007.5 MXN | 23.6 % | 0.751 | 2017 - 2018 |
| RAUL GONZALEZ ARAUJO | 2 | - MXN | - | - | 2017 - 2017 |
| ENDOMEDICA,S. A. DE C. V. | 1 | 2,279 MXN | 14.9 % | 0.448 | 2018 - 2018 |
| ESTRATEGIA HOSPITALARIA S.A. DE C.V. | 1 | 2,685 MXN | 150.5 % | 1.51 | 2015 - 2015 |
| HI-TEC MEDICAL, S.A. DE C.V. | 1 | - MXN | - | - | 2015 - 2015 |
Date updated in QQW
3 de octubre de 2022
Source(s)
Part of the project
Organization responsible for the import
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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=060.165.0427.02")
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=060.165.0427.02')
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=060.165.0427.02')