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Description
Compra Emergente
IMSS product code
060.841.0866.11
Each circle represents one of the 19 purchases of SUTURAS made by the IMSS between 2009 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 4 | 11,750.2 MXN | 5,630.4 MXN | 98.3 % | 23.5 | 23 de mayo de 2010 |
| Delegación Baja California | Baja California | 4 | 11,476.8 MXN | 5,078.8 MXN | 260.2 % | 20.8 | 27 de julio de 2010 |
| Delegación Coahuila | Coahuila | 2 | 2,932.6 MXN | 1,578.3 MXN | 71.7 % | 6.65 | 16 de noviembre de 2010 |
| Delegación Jalisco | Jalisco | 2 | 2,383.8 MXN | 181.2 MXN | 8.49 % | 0.763 | 22 de octubre de 2010 |
| H. de Especialidades No. 1 Centro Médico Nacional del Bajio, León, Gto. Umae Especialidades Guanajuato | Guanajuato | 2 | 6,032 MXN | 3,658.5 MXN | 154.1 % | 15.4 | 24 de noviembre de 2010 |
| Delegación Chihuahua | Chihuahua | 1 | 5,066.9 MXN | 1,763 MXN | 53.4 % | 7.43 | 8 de diciembre de 2010 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 1,342.8 MXN | 868.1 MXN | 182.9 % | 3.66 | 29 de octubre de 2010 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 2,088 MXN | 288 MXN | 16 % | 0.8 | 13 de septiembre de 2011 |
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 1 | 552 MXN | 90.1 MXN | 19.5 % | 0.195 | 26 de marzo de 2009 |
| H. de Especialidades, "Dr. Bernardo Sepulveda Gutiérrez" Centro Médico Nacional Siglo XXI Umae Especialidades C.m.n. Siglo Xxi | Ciudad de México | 1 | 30,613.8 MXN | - MXN | - | - | 1 de enero de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| RIOS MALDONADO MIGUEL | 5 | 5,928.8 MXN | 79.8 % | 24.1 | 2009 - 2010 |
| SALMED DISTRIBUIDORA, S.A. DE C.V. | 3 | 4,780.5 MXN | 344.9 % | 20.1 | 2010 - 2010 |
| CHEMICAL EXPRESS, S.A. DE C.V. | 2 | 2,446.4 MXN | 163.1 % | 10.3 | 2010 - 2010 |
| ELECTRO PAPER, S.A. DE C.V. | 2 | 181.2 MXN | 8.49 % | 0.763 | 2010 - 2010 |
| INSTRUMENTACION BIOMEDICA Y SIST. QUIR., SA CV | 2 | 3,658.5 MXN | 154.1 % | 15.4 | 2010 - 2010 |
| COMERCIAL HOSPITALARIA S.A DE C.V. | 1 | 288 MXN | 16 % | 0.8 | 2011 - 2011 |
| COMERCIALIZADORA INTEGRAL Y DE SERV. MIRSO, S. A. | 1 | 1,763 MXN | 53.4 % | 7.43 | 2010 - 2010 |
| INTERNACIONAL FARMACEUTICA, S.A. DE C.V. | 1 | - MXN | - | - | 2010 - 2010 |
| MARTHA DEL JESUS MARRUFO HERNANDEZ | 1 | 90.1 MXN | 19.5 % | 0.195 | 2009 - 2009 |
| RCA MEDICAL S.A. DE C.V.. | 1 | - MXN | - | - | 2009 - 2009 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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Choose the system where you want to use the data to see the instructions. For research methodology, see the Manual for investigating open contracting.
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=060.841.0866.11")
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=060.841.0866.11')
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=060.841.0866.11')