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Description
Cucharilla Coakley No 1 longitud 20 cm
Classification
Material médico. Instrumental de cirugia de especialidades
IMSS product code
537.263.0029.00
Presentation
Pieza
Each circle represents one of the 4 purchases of CUCHARILLA made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 1 | 649.8 MXN | 84.8 MXN | 15 % | 0.15 | 21 de julio de 2009 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 928 MXN | 255.5 MXN | 38 % | 0.76 | 4 de noviembre de 2015 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 1 | 1,412.4 MXN | 67.4 MXN | 5.01 % | 0.2 | 6 de agosto de 2015 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 1,218.6 MXN | 168.1 MXN | 16 % | 0.32 | 9 de mayo de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| HEMOST, S. A. DE C. V. | 1 | 168.1 MXN | 16 % | 0.32 | 2018 - 2018 |
| NEODREN, S. DE R. L. DE C. V. | 1 | 67.4 MXN | 5.01 % | 0.2 | 2015 - 2015 |
| PROVEEDORA MEDICA HOSPITALARIA, S. A. DE C. V. | 1 | 84.8 MXN | 15 % | 0.15 | 2009 - 2009 |
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 1 | 255.5 MXN | 38 % | 0.76 | 2015 - 2015 |
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=537.263.0029.00")
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=537.263.0029.00')
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=537.263.0029.00')