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Description
PLACA ANGULADA DE 95? DE 5 ORIFICIOS HOJA 60
IMSS product code
060.725.5130.11
Each circle represents one of the 2 purchases of PLACAS made by the IMSS between 2009 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Colima | Colima | 1 | 700 MXN | - MXN | - | - | 1 de junio de 2009 |
| Delegación Jalisco | Jalisco | 1 | 2,146 MXN | - MXN | - | - | 20 de abril de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BIO IMPLANTES DE OCCIDENTE S.A. DE C.V. | 1 | - MXN | - | - | 2012 - 2012 |
| MUNOZ GARZA ERNESTINA | 1 | - MXN | - | - | 2009 - 2009 |
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=060.725.5130.11")
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=060.725.5130.11')
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=060.725.5130.11')