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Description
SISTEMA DE BROCAS. BROCAS PARA ACOPLAMIENTO RAPIDO DIAMETRO: 3.5 MM LONGITUD: 110 MM FILO: 85 MM
IMSS product code
060.139.1766.12
Each circle represents one of the 2 purchases of BROCAS made by the IMSS between 2010 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 1 | 22,606.1 MXN | 3,118.1 MXN | 16 % | 7.68 | 9 de julio de 2012 |
| Delegación Sinaloa | Sinaloa | 1 | 2,234.2 MXN | - MXN | - | - | 18 de febrero de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| HEMOST, S. A. DE C. V. | 1 | - MXN | - | - | 2010 - 2010 |
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 1 | 3,118.1 MXN | 16 % | 7.68 | 2012 - 2012 |
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=060.139.1766.12")
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=060.139.1766.12')
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=060.139.1766.12')