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Description
TUBO ENDOTRAQUEAL, DE PLASTICO, GRADO MEDICO, CON MARCARADIOPACA, ESTERIL, DESE CHA-BLE, CON GLOBO DE ALTO VOLU-MEN Y BAJA PRESION; INCLUYEUNA VALVULA, UN CON ECTOR YUNA ESCALA EN MM PARA DETER-MINAR LA PROFUNDIDAD DE LACOLOCACION DEL
IMSS product code
060.168.2529.07
Each circle represents one of the 16 purchases of TUBOS made by the IMSS between 2009 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Guerrero | Guerrero | 4 | 2,071.1 MXN | 172.5 MXN | 10.6 % | 4.89 | 30 de junio de 2009 |
| Delegación Baja California | Baja California | 3 | 1,340.3 MXN | 48.1 MXN | 4.42 % | 1.47 | 5 de noviembre de 2010 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 2 | 356.1 MXN | 53.3 MXN | 12.2 % | 1.22 | 8 de diciembre de 2011 |
| Delegación Durango | Durango | 1 | 314 MXN | 29.8 MXN | 10.5 % | 0.843 | 1 de septiembre de 2009 |
| Delegación Guanajuato | Guanajuato | 1 | 266.8 MXN | - MXN | - | - | 13 de mayo de 2010 |
| Delegación Nuevo León | Nuevo León | 1 | 1,334 MXN | - MXN | - | - | 12 de febrero de 2010 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 1 | 87.2 MXN | 12 MXN | 16 % | 0.32 | 25 de noviembre de 2014 |
| Delegación Sinaloa | Sinaloa | 1 | 68.3 MXN | - MXN | - | - | 15 de enero de 2010 |
| Delegación Sur del DF Almacen Delegacional En El D.f. Zona Sur | Ciudad de México | 1 | 1,970.3 MXN | 826.9 MXN | 72.3 % | 25.3 | 25 de octubre de 2010 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 1 | 172.5 MXN | - MXN | - | - | 7 de mayo de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DE LEON TRINIDAD MARIA JANET | 2 | 60.9 MXN | 7.5 % | 1.73 | 2009 - 2009 |
| GONZALEZ FLORES CARLOS ALBERTO | 2 | 48.1 MXN | 6.63 % | 1.47 | 2010 - 2010 |
| RD GRUPO MEDICO, S.A. DE C.V. | 2 | 53.3 MXN | 12.2 % | 1.22 | 2011 - 2011 |
| COMERCIAL ALPRO, S.A. DE C.V. | 1 | - MXN | - | - | 2009 - 2009 |
| COMETA MERCANTIL, S.A. DE C.V. | 1 | - MXN | - | - | 2010 - 2010 |
| LARA GARCIA ADRIANA | 1 | - MXN | - | - | 2009 - 2009 |
| MARCELA A. MANZANERA CONTRERAS | 1 | 29.8 MXN | 10.5 % | 0.843 | 2009 - 2009 |
| ORTO-PAC, S.A. DE C.V. | 1 | 12 MXN | 16 % | 0.32 | 2014 - 2014 |
| PEDRAZA GARCIA RAFAEL | 1 | 826.9 MXN | 72.3 % | 25.3 | 2010 - 2010 |
| PROMEDICA GARCIA, S. A. DE C. V. | 1 | - MXN | - | - | 2010 - 2010 |
| SOPORTE MEDICO INTEGRAL, S.A. DE C.V. | 1 | - MXN | - | - | 2010 - 2010 |
| TIBA MEDICA, S. A. DE C. V. | 1 | - MXN | - | - | 2010 - 2010 |
| VALLE CASTILLO ABEL | 1 | 111.5 MXN | 27.5 % | 3.16 | 2009 - 2009 |
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=060.168.2529.07")
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=060.168.2529.07')
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=060.168.2529.07')