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Description
PLACAS RECTAS SEMITUBULAR DE 1 / 3 DE TUBO. NUMERO DE ORIFICIOS: 5.
Classification
Material médico. Material de curacion
IMSS product code
060.725.1774.11
Each circle represents one of the 10 purchases of SISTEMA DE PLACAS made by the IMSS between 2009 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 4 | 2,659.9 MXN | 366.9 MXN | 16 % | 0.64 | 27 de noviembre de 2012 |
| Delegación Coahuila | Coahuila | 3 | 3,156.4 MXN | 293.8 MXN | 12.7 % | 1.4 | 8 de junio de 2010 |
| Delegación Guanajuato | Guanajuato | 2 | 248.4 MXN | - MXN | - | - | 21 de abril de 2009 |
| Delegación Sinaloa | Sinaloa | 1 | 1,288.9 MXN | - MXN | - | - | 21 de junio de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DIAGNOSTICO Y CIRUGIA, S.A. DE C.V. | 2 | 79.2 MXN | 14.5 % | 0.336 | 2010 - 2010 |
| MEDICA AVANZADA, S. A. DE C. V. | 2 | 73.8 MXN | 7.29 % | 0.146 | 2012 - 2012 |
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 2 | - MXN | - | - | 2009 - 2009 |
| SPINEMED, S.A. DE C.V. | 2 | 293.1 MXN | 24.7 % | 0.494 | 2011 - 2012 |
| ABASTECEDORA MEDICA ESPECIALIZADA DE SINALOA, S.A. | 1 | - MXN | - | - | 2010 - 2010 |
| NEGRETE SAAVEDRA MYRIAM | 1 | 214.7 MXN | 9.27 % | 1.07 | 2009 - 2009 |
Entity type
Material de curacion
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=060.725.1774.11")
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=060.725.1774.11')
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=060.725.1774.11')