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Description
PLACA DHS A 135? DE 4 ORIFICIOS
IMSS product code
060.725.6609.11
Each circle represents one of the 8 purchases of PLACAS made by the IMSS between 2009 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Coahuila | Coahuila | 3 | 10,151.2 MXN | - MXN | - | - | 18 de noviembre de 2010 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 3,712 MXN | 274.5 MXN | 7.99 % | 0.0799 | 29 de octubre de 2010 |
| Delegación Jalisco | Jalisco | 1 | 4,524 MXN | - MXN | - | - | 2 de marzo de 2012 |
| Delegación Oaxaca | Oaxaca | 1 | 4,350 MXN | 362.5 MXN | 9.09 % | 0.105 | 10 de junio de 2010 |
| Delegación Sinaloa | Sinaloa | 1 | 6,496 MXN | 732 MXN | 12.7 % | 0.147 | 17 de enero de 2011 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 5,032.1 MXN | 63.1 MXN | 1.27 % | 0.0127 | 30 de agosto de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| NEGRETE SAAVEDRA MYRIAM | 4 | 274.5 MXN | 2 % | 0.0799 | 2009 - 2010 |
| BIO IMPLANTES DE OCCIDENTE S.A. DE C.V. | 1 | - MXN | - | - | 2012 - 2012 |
| LOPEZ CERVANTES MARIA DEL SOCORRO | 1 | 362.5 MXN | 9.09 % | 0.105 | 2010 - 2010 |
| MAYOREO MEDICO DEL NOROESTE, S.A. DE C.V. | 1 | 63.1 MXN | 1.27 % | 0.0127 | 2011 - 2011 |
| PUENTE SANCHEZ MALAQUIAS | 1 | 732 MXN | 12.7 % | 0.147 | 2011 - 2011 |
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=060.725.6609.11")
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=060.725.6609.11')
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=060.725.6609.11')