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Description
Compra Emergente
IMSS product code
060.066.0666.01
Each circle represents one of the 3 purchases of ANTISÉPTICOS made by the IMSS between 2009 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Baja California | Baja California | 2 | 568.6 MXN | 75.3 MXN | 14.9 % | 0.663 | 21 de diciembre de 2010 |
| Delegación Jalisco | Jalisco | 1 | 580 MXN | - MXN | - | - | 28 de octubre de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ELECTRO PAPER, S.A. DE C.V. | 1 | - MXN | - | - | 2010 - 2010 |
| GONZALEZ FLORES CARLOS ALBERTO | 1 | 75.3 MXN | 29.9 % | 0.663 | 2010 - 2010 |
| Proveedor local no identificado (Compra Emergente) | 1 | 0.00000336 MXN | 0.00000139 % | 0.0000000153 | 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=060.066.0666.01")
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=060.066.0666.01')
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=060.066.0666.01')