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Description
ECG 703-F-1 PRUEBA DE ESFUERZO (ESPECIFICAR MARCAY MODELO DEL EQUIPO).
Classification
Material médico. Material de curacion
IMSS product code
060.685.0717.01
Each circle represents one of the 8 purchases of PAPEL 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. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 3 | 221,579.4 MXN | 40,696.6 MXN | 20 % | 24.6 | 27 de abril de 2010 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 2 | 1,684.5 MXN | 393.9 MXN | 27.2 % | 2.24 | 11 de febrero de 2014 |
| Delegación Tabasco Almacen Delegacional En Tabasco | Tabasco | 2 | 12,504.6 MXN | 3,729.4 MXN | 69.1 % | 17 | 14 de agosto de 2012 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 1 | 16,760.6 MXN | 307.1 MXN | 1.87 % | 1.4 | 14 de diciembre de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CONTROLES GRAFICOS, S.A. DE C.V. | 3 | 3,000.7 MXN | 18.4 % | 17.6 | 2010 - 2011 |
| FERNANDEZ DIAZ CARLOS PABLO | 2 | 3,729.4 MXN | 69.1 % | 17 | 2012 - 2012 |
| INSTRUMEDICAL, S.A. DE C.V. | 2 | 38,323.8 MXN | 22.6 % | 10.4 | 2009 - 2009 |
| INSUMOS JAR, S. A. DE C. V. | 1 | 73.1 MXN | 16 % | 0.32 | 2014 - 2014 |
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=060.685.0717.01")
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=060.685.0717.01')
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=060.685.0717.01')