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Description
Compra Emergente
IMSS product code
060.203.0397.02
Each circle represents one of the 12 purchases of CINTAS made by the IMSS between 2009 and 2013.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Guerrero | Guerrero | 7 | 9,672.1 MXN | 629.5 MXN | 4.8 % | 3.29 | 12 de octubre de 2009 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 3 | 9,109.5 MXN | 2,513.4 MXN | 41.1 % | 13.1 | 19 de junio de 2009 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 1 | 1,980.8 MXN | 273.2 MXN | 16 % | 2.08 | 2 de diciembre de 2013 |
| Delegación Nayarit | Nayarit | 1 | 363.4 MXN | - MXN | - | - | 5 de febrero de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| VALLE CASTILLO ABEL | 5 | 582.4 MXN | 5.29 % | 3.04 | 2009 - 2009 |
| COMERCIALIZADORA MEDICA TAPATIA, S.A. DE C.V. | 1 | - MXN | - | - | 2009 - 2009 |
| DE LEON TRINIDAD MARIA JANET | 1 | 47.1 MXN | 7.13 % | 0.246 | 2009 - 2009 |
| DISTRIBUIDORA DE MATERIAL DE CURACION Y PRODUCTOS | 1 | 898.7 MXN | 67.1 % | 4.7 | 2009 - 2009 |
| HIPODERMICOS ARMA, S.A. DE C.V. | 1 | 1,614.7 MXN | 56.3 % | 8.44 | 2009 - 2009 |
| LARA GARCIA ADRIANA | 1 | - MXN | - | - | 2009 - 2009 |
| ORTEGA GALLEGOS GABRIELA | 1 | - MXN | - | - | 2009 - 2009 |
| PIHCSA PARA HOSPITALES, S. A. DE C. V. | 1 | 273.2 MXN | 16 % | 2.08 | 2013 - 2013 |
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=060.203.0397.02")
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=060.203.0397.02')
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=060.203.0397.02')