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Description
PLACAS CURVAS PARA RECONSTRUCCION DE ORBITA PARA TORNILLOS DE 1.5 MM A 2.0 MM DE DIAMETRO. NUMERO DE ORIFICIOS: DE 6 A 13. INCLUYE MEDIDAS INTERMEDIAS ENTRE LAS ESPECIFICADAS.
IMSS product code
060.725.7797.15
Each circle represents one of the 21 purchases of PLACAS made by the IMSS between 2017 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades, "Dr. Bernardo Sepulveda Gutiérrez" Centro Médico Nacional Siglo XXI Umae Especialidades C.m.n. Siglo Xxi | Ciudad de México | 21 | 43,104.4 MXN | 8,275.5 MXN | 23.4 % | 5.26 | 18 de julio de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MEDARTIS, S. A. DE C. V. | 16 | 3,204.7 MXN | 14.7 % | 2.69 | 2017 - 2018 |
| VARLIX MEXICO, S.A. DE C.V. | 3 | 2,440.9 MXN | 41.3 % | 1.24 | 2017 - 2017 |
| COMERCIAL SANERA, S.A. DE C.V. | 1 | 2,629.8 MXN | 133.4 % | 1.33 | 2017 - 2017 |
| LA TIENDA ORTOPEDICA SA DE CV DEPURACION JULIO 2011 | 1 | - MXN | - | - | 2018 - 2018 |
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=060.725.7797.15")
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=060.725.7797.15')
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=060.725.7797.15')