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Description
SONDAS DE LATEX, PUNTA REDONDA. TIPO NELATON. LONGITUD. 40 CM CALIBRE 16 FR.
IMSS product code
060.168.6678.11
Each circle represents one of the 22 purchases of SONDAS made by the IMSS between 2009 and 2016.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades Núm 25, Monterrey, N.L. Umae Especialidades Nuevo Leon | Nuevo León | 7 | 18,994.5 MXN | 6,565.4 MXN | 69.3 % | 169.7 | 25 de noviembre de 2016 |
| Delegación Baja California | Baja California | 5 | 839.6 MXN | - MXN | - | - | 29 de octubre de 2010 |
| H. de Especialidades, "Gral. Div. Manuel Avila Camacho", Centro Médico Nacional, Puebla Umae Especialidades Puebla | Puebla | 3 | 1,058.1 MXN | - MXN | - | - | 29 de abril de 2015 |
| H. General, "Dr. Gaudencio González Garza" Centro Médico Nacional La Raza Umae Hospital General C.m.n. La Raza | Ciudad de México | 2 | 2,548.1 MXN | 473.4 MXN | 19.8 % | 50 | 26 de diciembre de 2012 |
| Delegación Colima Almacen Delegacional En Colima | Colima | 1 | 444.9 MXN | - MXN | - | - | 6 de febrero de 2015 |
| Delegación Guanajuato | Guanajuato | 1 | 696 MXN | 667.3 MXN | 2,328.4 % | 54 | 14 de enero de 2010 |
| Delegación Michoacán | Michoacán | 1 | 23.1 MXN | - MXN | - | - | 6 de octubre de 2010 |
| Delegación Nuevo León Almacen Delegacional En Nuevo Leon | Nuevo León | 1 | 39,433 MXN | 7,032.2 MXN | 21.7 % | 372.4 | 11 de febrero de 2015 |
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 1 | 302.8 MXN | - MXN | - | - | 22 de marzo de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MEDICA BESSER, S.A. DE C.V. | 4 | - MXN | - | - | 2016 - 2016 |
| DENTILAB, S. A. DE C. V. | 3 | - MXN | - | - | 2015 - 2016 |
| DISTRIBUIDORA DE PRODUCTOS PARA EL BIENESTAR CORPO | 2 | 6,565.4 MXN | 242.4 % | 169.7 | 2016 - 2016 |
| S&M DISTRIBUTION, S. DE R.L. DE C.V. | 2 | - MXN | - | - | 2010 - 2010 |
| ABAMCU, S. A. DE C. V. | 1 | 7,032.2 MXN | 21.7 % | 372.4 | 2015 - 2015 |
| ESCAMILLA ZENTENO AURORA | 1 | 31.7 MXN | 16 % | 2.88 | 2012 - 2012 |
| INSTRUMENTACION Y EQUIPOS MEDICOS, S. DE R.L. DE C | 1 | - MXN | - | - | 2009 - 2009 |
| PROAMED, S.A. DE C.V. | 1 | 667.3 MXN | 2,328.4 % | 54 | 2010 - 2010 |
| QUEZADA ROMERO MIGUEL ANGEL | 1 | - MXN | - | - | 2010 - 2010 |
| RAPPYD, S.A. DE C.V. | 1 | 441.7 MXN | 23.5 % | 47.1 | 2009 - 2009 |
| SALMED DISTRIBUIDORA, S.A. DE C.V. | 1 | - MXN | - | - | 2010 - 2010 |
| SOPORTE HOSPITALARIO CENTRAL SA DE CV | 1 | - MXN | - | - | 2016 - 2016 |
| SUPLIMEX, S.A. DE C.V. | 1 | - MXN | - | - | 2015 - 2015 |
| TIBA MEDICA, S. A. DE C. V. | 1 | - MXN | - | - | 2010 - 2010 |
| VI-CO TECNOLOGIA MEDICA, S.A. DE C.V. | 1 | - MXN | - | - | 2015 - 2015 |
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=060.168.6678.11")
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=060.168.6678.11')
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=060.168.6678.11')