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Description
Compra Emergente
IMSS product code
060.932.2748.11
Each circle represents one of the 16 purchases of VÁLVULAS made by the IMSS between 2009 and 2013.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Oaxaca | Oaxaca | 3 | 24,360 MXN | - MXN | - | - | 13 de diciembre de 2010 |
| Delegación Coahuila | Coahuila | 2 | 7,656 MXN | - MXN | - | - | 22 de noviembre de 2010 |
| Delegación Tamaulipas | Tamaulipas | 2 | 5,750 MXN | - MXN | - | - | 31 de marzo de 2009 |
| H. de Especialidades, "Gral. Div. Manuel Avila Camacho", Centro Médico Nacional, Puebla Umae Especialidades Puebla | Puebla | 2 | 40,569.1 MXN | 7,545.9 MXN | 22.9 % | 1.6 | 21 de julio de 2011 |
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 2 | 88,205 MXN | 19,031.3 MXN | 27.5 % | 3.58 | 2 de julio de 2009 |
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 1 | 6,862.6 MXN | 661.8 MXN | 10.7 % | 0.107 | 13 de septiembre de 2010 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 1 | 22,310 MXN | 1,025.8 MXN | 4.82 % | 0.193 | 6 de mayo de 2009 |
| Delegación Querétaro Almacen Delegacional En Queretaro | Querétaro | 1 | 40,242.7 MXN | 27,841.3 MXN | 224.5 % | 4.49 | 11 de noviembre de 2010 |
| Delegación Zacatecas Almacen Delegacional En Zacatecas | Zacatecas | 1 | 52,461.9 MXN | 5,286 MXN | 11.2 % | 1.12 | 5 de abril de 2011 |
| H. de Traumatología y Ortopedia, "Gral. Div. Manuel Avila Camacho", Centro Médico Nacional, Puebla Umae Traumatologia Y Ortopedia Puebla | Puebla | 1 | 9,628 MXN | 1,328 MXN | 16 % | 0.32 | 26 de abril de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CRUZ TOLEDO MARIA DEL CARMEN | 3 | - MXN | - | - | 2010 - 2010 |
| INSTRUMENTOS MEDICOS INTERNACIONALES, S.A. DE C.V. | 3 | 20,057.1 MXN | 19.9 % | 3.77 | 2009 - 2009 |
| COMERCIALIZADORA GAYDI, S.A. DE C.V. | 2 | - MXN | - | - | 2009 - 2009 |
| NEGRETE SAAVEDRA MYRIAM | 2 | - MXN | - | - | 2010 - 2010 |
| A.E. EN PUEBLA S.A. DE C.V. | 1 | 1,328 MXN | 16 % | 0.32 | 2013 - 2013 |
| BIOTECNOLOGIA Y SERVICIOS, S.A. DE C.V. | 1 | 27,841.3 MXN | 224.5 % | 4.49 | 2010 - 2010 |
| DEVELOMENT INSERTION MATERIAL & ACCESS CARE, SA. D | 1 | 2,164.8 MXN | 22.9 % | 0.459 | 2011 - 2011 |
| HOLIDAY DE MEXICO, S. A. DE C. V. | 1 | 5,381.1 MXN | 22.8 % | 1.14 | 2011 - 2011 |
| MEXHOSA, S. A. DE C. V. | 1 | 5,286 MXN | 11.2 % | 1.12 | 2011 - 2011 |
| ZARATE RODRIGUEZ JOSE ALBERTO | 1 | 661.8 MXN | 10.7 % | 0.107 | 2010 - 2010 |
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=060.932.2748.11")
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=060.932.2748.11')
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=060.932.2748.11')