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Description
(ESPECIFICAR MARCA Y MODELO DEL EQUIPO QUE SE TIENE). 651-40. (63 MM. X 45M.) TERMOSENSIBLE.
Classification
Material médico. Material de curacion
IMSS product code
060.685.0618.00
Each circle represents one of the 11 purchases of PAPEL PARA ELECTROCARDIOGRAFO made by the IMSS between 2010 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Tamaulipas | Tamaulipas | 7 | 9,347.3 MXN | 1,724.7 MXN | 29.2 % | 37.9 | 16 de agosto de 2010 |
| Delegación Campeche Almacen Delegacional En Campeche | Campeche | 2 | 2,650.2 MXN | 2,512.1 MXN | 1,834.4 % | 36.8 | 7 de junio de 2012 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 1 | 27,840 MXN | 3,840 MXN | 16 % | 32 | 4 de julio de 2018 |
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 1 | 5,452 MXN | - MXN | - | - | 28 de abril de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SERVICIOS DE DISTRIBUCION HOSPITALARIA S.C. DE R.L | 4 | - MXN | - | - | 2010 - 2010 |
| ABASTECEDOR MEDICO HOSPITALARIO, S. A. DE C. V. | 3 | 1,724.7 MXN | 68 % | 37.9 | 2010 - 2010 |
| AKUASUL, S.A. DE C.V. | 1 | 3,840 MXN | 16 % | 32 | 2018 - 2018 |
| ALPUCHE CHI LUIS FERNANDO | 1 | 2,500.9 MXN | 3,652.8 % | 36.5 | 2011 - 2011 |
| CONTROLES GRAFICOS, S.A. DE C.V. | 1 | - MXN | - | - | 2011 - 2011 |
| EXE CORPORATIVO SA DE CV | 1 | 11.2 MXN | 16 % | 0.32 | 2012 - 2012 |
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=060.685.0618.00")
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=060.685.0618.00')
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=060.685.0618.00')