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Description
MARCAPASO ANALIZADOR DE GENERADOR EXTERNO TEMPORAL.
IMSS product code
531.609.0199.10
Each circle represents one of the 2 purchases of ACCESORIOS PARA MARCAPASOS made by the IMSS between 2013 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 1 | 362,790 MXN | 50,040 MXN | 16 % | 0.8 | 7 de junio de 2018 |
| H. General, "Dr. Gaudencio González Garza" Centro Médico Nacional La Raza Umae Hospital General C.m.n. La Raza | Ciudad de México | 1 | 26,100 MXN | 3,600 MXN | 16 % | 0.16 | 27 de febrero de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ARTIMEDICA, S.A. DE C.V. | 1 | 50,040 MXN | 16 % | 0.8 | 2018 - 2018 |
| SJ MEDICAL MEXICO, S. DE R.L. DE C.V. | 1 | 3,600 MXN | 16 % | 0.16 | 2013 - 2013 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=531.609.0199.10")
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=531.609.0199.10')
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=531.609.0199.10')