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Description
GUANTES PARA CIRUGIA, DE LA-TEX NATURAL DESECHABLES TALLA 6 1/2.
IMSS product code
060.456.0300.01
Each circle represents one of the 6 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 Baja California | Baja California | 2 | 10,071.3 MXN | 10,039.6 MXN | 38,822 % | 897.2 | 21 de diciembre de 2010 |
| Delegación Chihuahua | Chihuahua | 1 | 1,229.6 MXN | - MXN | - | - | 9 de diciembre de 2010 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 147.2 MXN | 20.3 MXN | 16 % | 0.16 | 27 de octubre de 2011 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 1 | 11,151.7 MXN | 1,538.2 MXN | 16 % | 104 | 21 de noviembre de 2014 |
| H. de Pediatría, Centro Médico Nacional Siglo XXI Umae Pediatria C.m.n. Siglo Xxi | Ciudad de México | 1 | 4,824.5 MXN | - MXN | - | - | 21 de julio de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| AMBIDERM, S.A. DE C.V. | 1 | - MXN | - | - | 2009 - 2009 |
| DIAGNOSTICA COMERCIAL, S.A. DE C.V. | 1 | 20.3 MXN | 16 % | 0.16 | 2011 - 2011 |
| DISTRIMEDH , S.A. DE C.V. | 1 | 9,303.9 MXN | 73,797 % | 811.8 | 2009 - 2009 |
| GONZALEZ FLORES CARLOS ALBERTO | 1 | 735.7 MXN | 3,847.1 % | 85.4 | 2010 - 2010 |
| JAIME OJEDA HERNANDEZ | 1 | 1,538.2 MXN | 16 % | 104 | 2014 - 2014 |
| Proveedor local no identificado (Compra Emergente) | 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=060.456.0300.01")
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=060.456.0300.01')
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=060.456.0300.01')