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Description
Compra Emergente
IMSS product code
060.125.0582.03
Each circle represents one of the 32 purchases of BOLSAS made by the IMSS between 2009 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Coahuila | Coahuila | 10 | 25,344 MXN | 2,969.2 MXN | 24.7 % | 11.2 | 29 de noviembre de 2010 |
| Delegación Veracruz Norte | Veracruz | 7 | 16,828.4 MXN | 1,419.1 MXN | 9.34 % | 5.35 | 4 de junio de 2009 |
| Delegación Chihuahua | Chihuahua | 5 | 7,242.5 MXN | - MXN | - | - | 11 de febrero de 2009 |
| Delegación Guerrero | Guerrero | 2 | 6,614.8 MXN | 515.1 MXN | 8.44 % | 1.94 | 17 de noviembre de 2009 |
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 1 | 8,468 MXN | 3,188.4 MXN | 60.4 % | 12.1 | 13 de septiembre de 2010 |
| Delegación Jalisco | Jalisco | 1 | 2,227.2 MXN | - MXN | - | - | 14 de septiembre de 2010 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 1 | 1,475.7 MXN | - MXN | - | - | 28 de julio de 2009 |
| Delegación Michoacán | Michoacán | 1 | 1,716.8 MXN | 185.7 MXN | 12.1 % | 0.703 | 25 de febrero de 2010 |
| Delegación Tamaulipas | Tamaulipas | 1 | 3,120.4 MXN | 58.2 MXN | 1.9 % | 0.221 | 7 de enero de 2010 |
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Puerto (ext. Bienes Terapeuticos) | Veracruz | 1 | 4,422.2 MXN | 974.6 MXN | 28.3 % | 3.67 | 9 de diciembre de 2009 |
| H. de Especialidades No. 1 Centro Médico Nacional del Bajio, León, Gto. Umae Especialidades Guanajuato | Guanajuato | 1 | 29,003 MXN | 15,212.4 MXN | 110.3 % | 57.4 | 29 de abril de 2009 |
| H. de Especialidades Núm 25, Monterrey, N.L. Umae Especialidades Nuevo Leon | Nuevo León | 1 | 83,398 MXN | 9,140.8 MXN | 12.3 % | 34.5 | 3 de noviembre de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| Proveedor local no identificado (Compra Emergente) | 7 | 1,419.1 MXN | 9.34 % | 5.35 | 2009 - 2009 |
| COMERCIALIZADORA ESPECIALIDADES Y EQUIPOS, S.A. DE | 6 | 2,969.2 MXN | 41.2 % | 11.2 | 2009 - 2010 |
| SOPORTE MEDICO INTEGRAL, S.A. DE C.V. | 5 | 9,140.8 MXN | 2.46 % | 34.5 | 2009 - 2010 |
| NUEVO MILENIO DISTRIBUCIONES Y MEDICAMENTOS S.A. DE C.V. | 3 | - MXN | - | - | 2009 - 2009 |
| MANRIQUEZ GUADARRAMA MA. | 2 | 515.1 MXN | 8.44 % | 1.94 | 2009 - 2009 |
| MEMORIAL MEDICA, S.A. DE C.V. | 2 | 243.9 MXN | 7.02 % | 0.924 | 2010 - 2010 |
| MIRANDA CHAN HECTOR FRANCISCO | 2 | - MXN | - | - | 2009 - 2009 |
| ANDRADE SANDOVAL JAVIER | 1 | 974.6 MXN | 28.3 % | 3.67 | 2009 - 2009 |
| GRUPO FARMACEUTICA CMQ S.A. | 1 | - MXN | - | - | 2010 - 2010 |
| PE?A HERNANDEZ MARIA DE JESUS | 1 | 3,188.4 MXN | 60.4 % | 12.1 | 2010 - 2010 |
| PIHCSA PARA HOSPITALES, S. A. DE C. V. | 1 | - MXN | - | - | 2009 - 2009 |
| PROMEDICA GARCIA, S. A. DE C. V. | 1 | 15,212.4 MXN | 110.3 % | 57.4 | 2009 - 2009 |
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=060.125.0582.03")
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=060.125.0582.03')
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=060.125.0582.03')