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Description
TUBO ENDOTRAQUEAL, CON GLOBOY ESPIRAL DE ALAMBRE, CON BALON Y CONECTOR, OPACO A LOSRAYOS X, ESTERIL, LONG 32 A36 CM, CAL 30 FR.
IMSS product code
060.167.8204.10
Each circle represents one of the 21 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 |
|---|---|---|---|---|---|---|---|
| H. de Especialidades No. 1, "Lic. Ignacio García Tellez" Mérida, Yucatán. Umae Especialidades Yucatan | Yucatán | 5 | 212,195.7 MXN | 32,442 MXN | 29.7 % | 207.5 | 29 de noviembre de 2012 |
| Delegación Baja California | Baja California | 4 | 14,887.2 MXN | 2,439.4 MXN | 33.1 % | 11.3 | 23 de abril de 2012 |
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. | Veracruz | 3 | 20,044.8 MXN | - MXN | - | - | 9 de mayo de 2012 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 2 | 8,945.9 MXN | 1,233.9 MXN | 16 % | 0.64 | 23 de diciembre de 2014 |
| H. de Especialidades No. 1, "Lic. Ignacio García Tellez" Mérida, Yucatán. | Yucatán | 2 | 7,796.3 MXN | 1,331.2 MXN | 66.4 % | 6.16 | 18 de enero de 2012 |
| Delegación Campeche Almacen Delegacional En Campeche | Campeche | 1 | 8,440.4 MXN | 4,118.2 MXN | 95.3 % | 19.1 | 17 de diciembre de 2012 |
| Delegación Coahuila | Coahuila | 1 | 299 MXN | - MXN | - | - | 20 de octubre de 2009 |
| Delegación Oaxaca | Oaxaca | 1 | 999.9 MXN | 263.5 MXN | 35.8 % | 0.83 | 3 de marzo de 2010 |
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 1 | 6,681.6 MXN | - MXN | - | - | 13 de junio de 2012 |
| H. de Especialidades Núm 25, Monterrey, N.L. Umae Especialidades Nuevo Leon | Nuevo León | 1 | 18,860 MXN | 4,431.8 MXN | 30.7 % | 12.3 | 14 de julio de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| FRANCISCO GARCIA LOPEZ, S.A. DE C.V. | 5 | 8,948.6 MXN | 45 % | 37.9 | 2009 - 2012 |
| AVISA MEDICAL, S.A. DE C.V. | 4 | - MXN | - | - | 2012 - 2012 |
| GRUPOMORAVI,S.A.DEC.V. | 2 | 1,553.3 MXN | 14.5 % | 7.19 | 2012 - 2012 |
| MEDICA INTEGRAL HDM S.A DE C.V. | 2 | 1,233.9 MXN | 16 % | 0.64 | 2014 - 2014 |
| RIOS MALDONADO MIGUEL | 2 | 886 MXN | 51.7 % | 4.1 | 2012 - 2012 |
| CIRUGIA Y MEDICAMENTOS, S.A. DE C.V | 1 | 1,331.2 MXN | 132.8 % | 6.16 | 2012 - 2012 |
| COMERCIALIZADORA MEDICA DEL SURESTE, S.A. DE C.V. | 1 | - MXN | - | - | 2011 - 2011 |
| DURFA, S. A. DE C. V. | 1 | 4,431.8 MXN | 30.7 % | 12.3 | 2009 - 2009 |
| ESCAMILLA ZENTENO AURORA | 1 | 27,611.7 MXN | 18.9 % | 188.6 | 2011 - 2011 |
| GONZALEZ CARRILLO SILVIA | 1 | 263.5 MXN | 35.8 % | 0.83 | 2010 - 2010 |
| NEGRETE SAAVEDRA MYRIAM | 1 | - MXN | - | - | 2009 - 2009 |
Date updated in QQW
3 de octubre de 2022
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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=060.167.8204.10")
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=060.167.8204.10')
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=060.167.8204.10')