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Description
PINZA PAYR O PAYR BABY ESTRIAS LONGITUDINALES, LONGITUD DE 150 A 180 MM.
IMSS product code
535.701.4447.02
Each circle represents one of the 5 purchases of PINZAS made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 1 | 3,906.9 MXN | 538.9 MXN | 16 % | 0.32 | 20 de agosto de 2010 |
| Delegación Durango Almacen Delegacional En Durango | Durango | 1 | 22,620 MXN | 3,120 MXN | 16 % | 1.6 | 30 de noviembre de 2017 |
| Delegación Guerrero Almacen Delegacional En Guerrero | Guerrero | 1 | 10,370.4 MXN | 1,430.4 MXN | 16 % | 0.96 | 9 de julio de 2013 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 25,488.1 MXN | 3,515.6 MXN | 16 % | 1.6 | 9 de mayo de 2018 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 8,714.7 MXN | 1,136.7 MXN | 15 % | 0.9 | 1 de octubre de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 3 | 4,795.6 MXN | 15.7 % | 2.82 | 2009 - 2017 |
| ATM ALTA TECNOLOGIA MEDICA, S.A. DE C.V. | 1 | 1,430.4 MXN | 16 % | 0.96 | 2013 - 2013 |
| HEMOST, S. A. DE C. V. | 1 | 3,515.6 MXN | 16 % | 1.6 | 2018 - 2018 |
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=535.701.4447.02")
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=535.701.4447.02')
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=535.701.4447.02')