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Description
Cincel Smith Petersen recto de 32 mm. de ancho
Classification
Material médico. Instrumental de cirugia de especialidades
IMSS product code
537.191.2766.00
Presentation
Pieza
Each circle represents one of the 10 purchases of CINCEL made by the IMSS between 2010 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Durango Almacen Delegacional En Durango | Durango | 3 | 5,527.4 MXN | 754.9 MXN | 15.8 % | 1.42 | 25 de julio de 2018 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 2 | 1,226.1 MXN | 258 MXN | 26.6 % | 0.532 | 3 de noviembre de 2016 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 1 | 1,032.4 MXN | 61.1 MXN | 6.29 % | 0.126 | 6 de junio de 2014 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 1,948.8 MXN | 268.8 MXN | 16 % | 0.48 | 5 de febrero de 2013 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 657.7 MXN | 90.7 MXN | 16 % | 0.16 | 25 de junio de 2010 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 1 | 603.2 MXN | 59.7 MXN | 11 % | 0.11 | 26 de abril de 2012 |
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 1 | 657.7 MXN | 114.2 MXN | 21 % | 0.21 | 17 de febrero de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 8 | 1,460.4 MXN | 18.4 % | 2.74 | 2010 - 2018 |
| HEMOST, S. A. DE C. V. | 2 | 147 MXN | 12 % | 0.304 | 2014 - 2016 |
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=537.191.2766.00")
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=537.191.2766.00')
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=537.191.2766.00')