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Description
IMPLANTES. BLOCK DE SILASTIC PARA APLICACION EN ORBITA.
IMSS product code
060.506.2033.12
Each circle represents one of the 9 purchases of IMPLANTES made by the IMSS between 2009 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sinaloa | Sinaloa | 6 | 55,095.4 MXN | 138.9 MXN | 0.275 % | 0.0382 | 22 de octubre de 2012 |
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 2 | 12,736 MXN | 608.9 MXN | 8 % | 0.16 | 27 de julio de 2010 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 105,548.7 MXN | 23,034.1 MXN | 27.9 % | 2.79 | 1 de diciembre de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| COMERCIALIZADORA EN INST. MEDICO E IND., S.A. DE C | 7 | 138.9 MXN | 0.235 % | 0.0382 | 2009 - 2012 |
| CAGESA ABASTECEDORA DE HOSPITALES, S.A. DE C.V. | 1 | 23,034.1 MXN | 27.9 % | 2.79 | 2009 - 2009 |
| SOLUMEDI, S.A. DE C.V. | 1 | 608.9 MXN | 16 % | 0.16 | 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=060.506.2033.12")
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=060.506.2033.12')
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=060.506.2033.12')