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Description
Espátula lecron
Classification
Material médico. Instrumental de cirugia de especialidades
IMSS product code
537.370.0227.00
Presentation
Pieza
Each circle represents one of the 5 purchases of ESPÁTULAS made by the IMSS between 2010 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Durango Almacen Delegacional En Durango | Durango | 1 | 667 MXN | 92 MXN | 16 % | 0.8 | 30 de noviembre de 2017 |
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 1 | 5,736.9 MXN | 791.3 MXN | 16 % | 1.6 | 10 de junio de 2016 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 393.2 MXN | 54.2 MXN | 16 % | 0.48 | 25 de junio de 2010 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 1 | 667 MXN | 70.6 MXN | 11.8 % | 1.18 | 8 de febrero de 2012 |
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 1 | 94 MXN | 34.3 MXN | 57.6 % | 0.576 | 17 de febrero de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 3 | 180.6 MXN | 29.9 % | 1.86 | 2010 - 2017 |
| AL-MAZ COMERCIALIZADORA MEDICA, SA DE CV | 1 | 791.3 MXN | 16 % | 1.6 | 2016 - 2016 |
| LAURA ALICIA GARCIA SILVA | 1 | 70.6 MXN | 11.8 % | 1.18 | 2012 - 2012 |
Entity type
Instrumental de cirugia de especialidades
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=537.370.0227.00")
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=537.370.0227.00')
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=537.370.0227.00')