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Description
Separador Desmarres Cushing
Classification
Material médico. Instrumental de cirugia general
IMSS product code
535.814.6172.00
Presentation
Pieza
Each circle represents one of the 5 purchases of SEPARADORES made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Durango Almacen Delegacional En Durango | Durango | 1 | 3,190 MXN | 440 MXN | 16 % | 1.76 | 30 de noviembre de 2017 |
| Delegación Guerrero Almacen Delegacional En Guerrero | Guerrero | 1 | 3,175.6 MXN | 438 MXN | 16 % | 0.16 | 21 de diciembre de 2010 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 1 | 1,624 MXN | 224 MXN | 16 % | 1.12 | 6 de agosto de 2015 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 5,117.7 MXN | 705.9 MXN | 16 % | 0.96 | 9 de mayo de 2018 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 414 MXN | 54 MXN | 15 % | 0.3 | 17 de agosto de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 3 | 718 MXN | 15.7 % | 3.18 | 2009 - 2017 |
| CORPORATIVO MEGA HERZ, S.A. DE C.V. | 1 | 438 MXN | 16 % | 0.16 | 2010 - 2010 |
| GENESIS HEALTHCARE ADVISERS, S. A. DE C. V. | 1 | 705.9 MXN | 16 % | 0.96 | 2018 - 2018 |
Entity type
Instrumental de cirugia general
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=535.814.6172.00")
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=535.814.6172.00')
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=535.814.6172.00')