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Description
Pinza De Disección. Pinza Cushing recta con dorso acanalado y dientes 1 x 2 longitud 18 cm
Classification
Material médico. Instrumental de cirugia general
IMSS product code
535.701.4272.00
Presentation
Pieza
Each circle represents one of the 5 purchases of PINZAS made by the IMSS between 2009 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Durango Almacen Delegacional En Durango | Durango | 1 | 2,035.8 MXN | 276.5 MXN | 15.7 % | 2.04 | 30 de noviembre de 2017 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 1 | 211.8 MXN | 29.2 MXN | 16 % | 0.32 | 6 de agosto de 2015 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 223.1 MXN | 29.1 MXN | 15 % | 0.3 | 1 de octubre de 2009 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 1 | 161.9 MXN | 26.6 MXN | 19.7 % | 0.197 | 8 de noviembre de 2017 |
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 1 | 366.6 MXN | 50.6 MXN | 16 % | 0.32 | 16 de mayo de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 3 | 356.2 MXN | 15.6 % | 2.66 | 2009 - 2017 |
| HEMOST, S. A. DE C. V. | 1 | 26.6 MXN | 19.7 % | 0.197 | 2017 - 2017 |
| NEODREN, S. DE R. L. DE C. V. | 1 | 29.2 MXN | 16 % | 0.32 | 2015 - 2015 |
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=535.701.4272.00")
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=535.701.4272.00')
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=535.701.4272.00')