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Description
Compra Emergente
IMSS product code
060.125.2844.11
Each circle represents one of the 2 purchases of BOLSAS made by the IMSS between 2010 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Coahuila | Coahuila | 1 | 3,857 MXN | 0.000000000000455 MXN | 0.0000000000000118 % | 0.000000000000000137 | 5 de noviembre de 2010 |
| H. de Oncología, Centro Médico Nacional Siglo XXI Umae Oncologia C.m.n. Siglo Xxi | Ciudad de México | 1 | 5,135.1 MXN | 708.3 MXN | 16 % | 0.8 | 13 de enero de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CHEMICAL EXPRESS, S.A. DE C.V. | 1 | 0.000000000000455 MXN | 0.0000000000000118 % | 0.000000000000000137 | 2010 - 2010 |
| ESPECIALISTAS EN ESTERILIZACION Y ENVASE,S.A.DEC.V | 1 | 708.3 MXN | 16 % | 0.8 | 2014 - 2014 |
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=060.125.2844.11")
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=060.125.2844.11')
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=060.125.2844.11')