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Description
Compra Emergente
IMSS product code
060.168.2511.06
Each circle represents one of the 26 purchases of TUBOS made by the IMSS between 2009 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Nuevo León | Nuevo León | 9 | 12,663.9 MXN | 394.9 MXN | 3.53 % | 11.8 | 1 de noviembre de 2010 |
| Delegación Guerrero | Guerrero | 4 | 1,968.8 MXN | 142.5 MXN | 7.8 % | 3.59 | 23 de junio de 2009 |
| Delegación Sinaloa | Sinaloa | 2 | 185.5 MXN | - MXN | - | - | 15 de enero de 2010 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 2 | 356.1 MXN | 103.7 MXN | 33.5 % | 2.88 | 8 de diciembre de 2011 |
| Delegación Tlaxcala | Tlaxcala | 2 | 1,322.4 MXN | 158.3 MXN | 13.6 % | 4.73 | 7 de mayo de 2010 |
| Delegación Baja California | Baja California | 1 | 238.6 MXN | - MXN | - | - | 25 de octubre de 2010 |
| Delegación Durango | Durango | 1 | 224.3 MXN | - MXN | - | - | 1 de septiembre de 2009 |
| Delegación Puebla | Puebla | 1 | 90.9 MXN | - MXN | - | - | 28 de enero de 2010 |
| Delegación Sur del DF Almacen Delegacional En El D.f. Zona Sur | Ciudad de México | 1 | 1,970.3 MXN | 799.6 MXN | 68.3 % | 23.9 | 25 de octubre de 2010 |
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 1 | 229.4 MXN | - MXN | - | - | 31 de mayo de 2011 |
| Delegación Yucatán | Yucatán | 1 | 51.8 MXN | 6.09 MXN | 13.3 % | 0.153 | 8 de junio de 2009 |
| H. de Especialidades No. 1 Centro Médico Nacional del Bajio, León, Gto. Umae Especialidades Guanajuato | Guanajuato | 1 | 1,409.4 MXN | 194.4 MXN | 16 % | 7.2 | 21 de marzo de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABASTECEDOR MEDICO HOSPITALARIO, S. A. DE C. V. | 5 | 394.9 MXN | 6.36 % | 11.8 | 2009 - 2010 |
| SOPORTE MEDICO INTEGRAL, S.A. DE C.V. | 4 | - MXN | - | - | 2010 - 2010 |
| DE LEON TRINIDAD MARIA JANET | 2 | 20.7 MXN | 2.26 % | 0.52 | 2009 - 2009 |
| ESTRELLA PASTRANA GONZALEZ | 2 | 158.3 MXN | 13.6 % | 4.73 | 2010 - 2010 |
| RD GRUPO MEDICO, S.A. DE C.V. | 2 | 103.7 MXN | 33.5 % | 2.88 | 2011 - 2011 |
| VALLE CASTILLO ABEL | 2 | 121.9 MXN | 13.3 % | 3.07 | 2009 - 2009 |
| ALVAREZ SALAZAR ELEAZAR | 1 | - MXN | - | - | 2010 - 2010 |
| COMETA MERCANTIL, S.A. DE C.V. | 1 | - MXN | - | - | 2010 - 2010 |
| DISTRIBUIDORA ERCCO, S.A. DE C.V. | 1 | - MXN | - | - | 2010 - 2010 |
| GONZALEZ FLORES CARLOS ALBERTO | 1 | - MXN | - | - | 2010 - 2010 |
| MARCELA A. MANZANERA CONTRERAS | 1 | - MXN | - | - | 2009 - 2009 |
| MARTHA DEL JESUS MARRUFO HERNANDEZ | 1 | 6.09 MXN | 13.3 % | 0.153 | 2009 - 2009 |
| PEDRAZA GARCIA RAFAEL | 1 | 799.6 MXN | 68.3 % | 23.9 | 2010 - 2010 |
| PROMEDICA GARCIA, S. A. DE C. V. | 1 | 194.4 MXN | 16 % | 7.2 | 2012 - 2012 |
| SISTEMAS MEDICOS DE YUCATAN, S. DE RL DE CV | 1 | - MXN | - | - | 2011 - 2011 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=060.168.2511.06")
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=060.168.2511.06')
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=060.168.2511.06')