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Description
Compra Emergente
IMSS product code
060.456.0391.01
Each circle represents one of the 3 purchases of GUANTES made by the IMSS between 2009 and 2016.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Baja California | Baja California | 1 | 14,652 MXN | - MXN | - | - | 26 de octubre de 2010 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 1.6 millones MXN | 216,602.9 MXN | 16 % | 2,777 | 10 de marzo de 2016 |
| Delegación Guerrero | Guerrero | 1 | 856.8 MXN | 0.000000000000114 MXN | 0.0000000000000133 % | 0.000000000000000763 | 10 de enero de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DENTILAB, S. A. DE C. V. | 1 | 216,602.9 MXN | 16 % | 2,777 | 2016 - 2016 |
| GONZALEZ FLORES CARLOS ALBERTO | 1 | - MXN | - | - | 2010 - 2010 |
| VALLE CASTILLO ABEL | 1 | 0.000000000000114 MXN | 0.0000000000000133 % | 0.000000000000000763 | 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=060.456.0391.01")
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=060.456.0391.01')
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=060.456.0391.01')