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Description
14X17" LIGEROS C/PANTAL NÚMERO CATÁLOGO PROVEEDOR: MARCA: AFP REFACCIÓN PARAEQUIPO: RAYOS "X".
Classification
Material médico. Aparatos medicos
IMSS product code
531.198.0196.00
Each circle represents one of the 2 purchases of CHASIS made by the IMSS between 2009 and 2009.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 1 | 90,452.6 MXN | 5,857.7 MXN | 6.92 % | 1.38 | 1 de noviembre de 2009 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 1 | 16,560 MXN | 8,100.5 MXN | 95.8 % | 1.92 | 3 de diciembre de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| FLORES VAZQUEZ RICARDO DAVID | 1 | 8,100.5 MXN | 95.8 % | 1.92 | 2009 - 2009 |
| IMADINE, S.A. DE C.V. | 1 | 5,857.7 MXN | 6.92 % | 1.38 | 2009 - 2009 |
Entity type
Aparatos medicos
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=531.198.0196.00")
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=531.198.0196.00')
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=531.198.0196.00')