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Description
TORNILLOS. TORNILLOS CANULADO PARA HUESO ESPONJOSO, DE 7 MM DE DIAMETRO, CON ROSCA DE 16 MM. LONGITUD: 115 MM.
IMSS product code
060.899.0446.12
Each circle represents one of the 2 purchases of TORNILLOS made by the IMSS between 2011 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 1 | 1,710 MXN | 235.9 MXN | 16 % | 1.6 | 9 de octubre de 2014 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 1 | 3,712 MXN | 512 MXN | 16 % | 0.64 | 23 de noviembre de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ORTHOSURGERY SA DE CV | 1 | 235.9 MXN | 16 % | 1.6 | 2014 - 2014 |
| SYNTHES S.M.P., S. DE R.L. DE C.V. | 1 | 512 MXN | 16 % | 0.64 | 2011 - 2011 |
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=060.899.0446.12")
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=060.899.0446.12')
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=060.899.0446.12')