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Description
PARA URETERO RESECTOSCOPIO. (ESPECIFICAR MARCAY MODELO DEL EQUIPO). CORTANTE.
Classification
Material médico. Material de curacion
IMSS product code
060.330.0021.10
Each circle represents one of the 18 purchases of ELECTRODO made by the IMSS between 2009 and 2015.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chihuahua | Chihuahua | 7 | 116,174 MXN | 1,577.4 MXN | 1.07 % | 1.69 | 9 de diciembre de 2015 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 5 | 202,433.3 MXN | 36,481 MXN | 28.1 % | 43.4 | 3 de abril de 2014 |
| Delegación Durango Almacen Delegacional En Durango | Durango | 2 | 96,710.3 MXN | 11,550.2 MXN | 9.85 % | 22.1 | 18 de febrero de 2010 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 2 | 8,508.4 MXN | 4,493.1 MXN | 110.1 % | 6.71 | 8 de mayo de 2009 |
| Delegación Nuevo León Almacen Delegacional En Nuevo Leon | Nuevo León | 1 | 16,520.5 MXN | - MXN | - | - | 1 de enero de 2009 |
| Delegación Sinaloa | Sinaloa | 1 | 538.2 MXN | - MXN | - | - | 11 de mayo de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ESCAMILLA ZENTENO AURORA | 6 | 29,031.2 MXN | 21.4 % | 50.3 | 2009 - 2010 |
| RUIZ ORTEGA MIGUEL ANDRES | 5 | 1,577.4 MXN | 1.5 % | 1.69 | 2015 - 2015 |
| DEWIMED, S. A. | 2 | 4,493.1 MXN | 110.1 % | 6.71 | 2009 - 2009 |
| GRUPO EMEQUR, S.A. DE C.V. | 2 | 19,000 MXN | 16 % | 15.2 | 2014 - 2014 |
| RODRIGUEZ MENDOZA SALVADOR FERNANDO | 2 | - MXN | - | - | 2015 - 2015 |
| COMETA MERCANTIL, S.A. DE C.V. | 1 | - MXN | - | - | 2010 - 2010 |
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=060.330.0021.10")
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=060.330.0021.10')
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=060.330.0021.10')