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Description
Pinza intestinal no aislada traumática 5 mm x 6 cm longitud 38 cm
Classification
Material médico. Instrumental de cirugia general
IMSS product code
535.701.4074.00
Presentation
Pieza
Each circle represents one of the 2 purchases of PINZAS made by the IMSS between 2010 and 2016.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Durango Almacen Delegacional En Durango | Durango | 1 | 570.7 MXN | 78.7 MXN | 16 % | 0.64 | 14 de diciembre de 2010 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 1 | 8,352 MXN | 1,152 MXN | 16 % | 2.56 | 3 de octubre de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| HEMOST, S. A. DE C. V. | 1 | 1,152 MXN | 16 % | 2.56 | 2016 - 2016 |
| HIDRO HOSPITAL, S.A. DE C.V. | 1 | 78.7 MXN | 16 % | 0.64 | 2010 - 2010 |
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=535.701.4074.00")
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=535.701.4074.00')
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=535.701.4074.00')