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Description
Compra Emergente
IMSS product code
060.203.0363.01
Each circle represents one of the 21 purchases of CINTAS made by the IMSS between 2009 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Guerrero | Guerrero | 16 | 23,391.5 MXN | 1,183 MXN | 3.96 % | 5.84 | 17 de noviembre de 2009 |
| Delegación Baja California | Baja California | 2 | 2,470.8 MXN | 23.9 MXN | 0.976 % | 0.17 | 9 de diciembre de 2010 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 1 | 2,242.5 MXN | 621.4 MXN | 38.3 % | 3.07 | 13 de abril de 2009 |
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 1 | 302.4 MXN | 21.1 MXN | 7.51 % | 0.15 | 23 de noviembre de 2010 |
| H. de Especialidades Núm 71, Torreón, Coahuila | Coahuila | 1 | 356 MXN | - MXN | - | - | 11 de mayo de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| VALLE CASTILLO ABEL | 11 | 905.3 MXN | 3.53 % | 4.47 | 2009 - 2009 |
| S&M DISTRIBUTION, S. DE R.L. DE C.V. | 3 | 45 MXN | 3.15 % | 0.32 | 2010 - 2010 |
| DE LEON TRINIDAD MARIA JANET | 2 | 277.7 MXN | 12.3 % | 1.37 | 2009 - 2009 |
| MANRIQUEZ GUADARRAMA MA. | 2 | - MXN | - | - | 2009 - 2009 |
| EL CIRUJANO, S.A DE C.V | 1 | - MXN | - | - | 2012 - 2012 |
| HIPODERMICOS ARMA, S.A. DE C.V. | 1 | 621.4 MXN | 38.3 % | 3.07 | 2009 - 2009 |
| LARA GARCIA ADRIANA | 1 | - MXN | - | - | 2009 - 2009 |
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=060.203.0363.01")
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=060.203.0363.01')
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=060.203.0363.01')