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Description
PINZA PAYR, ESTRIAS LONGITUDINALES, LONGITUD DE 275 A 290 MM.
IMSS product code
535.701.4462.02
Each circle represents one of the 7 purchases of PINZAS made by the IMSS between 2010 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 2 | 35,690.2 MXN | 5,104.6 MXN | 16.5 % | 2.18 | 3 de octubre de 2016 |
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 1 | 4,809.4 MXN | 663.4 MXN | 16 % | 0.32 | 20 de agosto de 2010 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 1 | 6,013.4 MXN | 829.4 MXN | 16 % | 0.48 | 6 de junio de 2014 |
| Delegación Nayarit Almacen Delegacional En Nayarit | Nayarit | 1 | 8,017.9 MXN | 1,105.9 MXN | 16 % | 0.64 | 6 de octubre de 2014 |
| Delegación Nuevo León Almacen Delegacional En Nuevo Leon | Nuevo León | 1 | 24,725.1 MXN | 3,410.4 MXN | 16 % | 1.6 | 4 de mayo de 2018 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 1 | 9,512 MXN | 1,130.1 MXN | 13.5 % | 0.539 | 3 de noviembre de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 4 | 6,497.7 MXN | 16.2 % | 3.3 | 2010 - 2016 |
| DEWIMED, S. A. | 1 | 1,205.7 MXN | 16 % | 0.32 | 2015 - 2015 |
| HEMOST, S. A. DE C. V. | 1 | 1,130.1 MXN | 13.5 % | 0.539 | 2016 - 2016 |
| MEDIC LEASE, SA DE CV. | 1 | 3,410.4 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=535.701.4462.02")
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=535.701.4462.02')
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=535.701.4462.02')