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Description
GUANTES PARA CIRUGIA, DE LA-TEX NATURAL DESECHABLES TALLA 7.
IMSS product code
060.456.0318.01
Each circle represents one of the 7 purchases of GUANTES made by the IMSS between 2009 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chihuahua | Chihuahua | 3 | 8,873.5 MXN | - MXN | - | - | 9 de diciembre de 2010 |
| Delegación Guerrero | Guerrero | 1 | 1,269.6 MXN | 1,247.1 MXN | 5,546.4 % | 191.4 | 30 de enero de 2009 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 281.8 MXN | 275.2 MXN | 4,223 % | 42.2 | 13 de mayo de 2009 |
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Puerto (ext. Bienes Terapeuticos) | Veracruz | 1 | 6,960 MXN | 960 MXN | 16 % | 160 | 6 de marzo de 2014 |
| Delegación Veracruz Norte | Veracruz | 1 | 1,749.2 MXN | - MXN | - | - | 25 de mayo de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| Proveedor local no identificado (Compra Emergente) | 2 | - MXN | - | - | 2009 - 2010 |
| DISTRIBUIDORA DE MATERIAL DE CURACION Y PRODUCTOS | 1 | - MXN | - | - | 2009 - 2009 |
| LLERA HERNANDEZ JESUS HORACIO | 1 | 960 MXN | 16 % | 160 | 2014 - 2014 |
| PROVEEDORA HOSPITALARIA DEL NOROESTE S.A DE C.V. | 1 | 275.2 MXN | 4,223 % | 42.2 | 2009 - 2009 |
| VALLE CASTILLO ABEL | 1 | 1,247.1 MXN | 5,546.4 % | 191.4 | 2009 - 2009 |
| VERAME COMERCIALIZADORA MEDICA, S.A. DE C.V. | 1 | - MXN | - | - | 2010 - 2010 |
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=060.456.0318.01")
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=060.456.0318.01')
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=060.456.0318.01')