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Description
Compra Emergente
IMSS product code
060.725.8043.12
Each circle represents one of the 2 purchases of PLACAS made by the IMSS between 2009 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Tabasco | Tabasco | 1 | 8,934.8 MXN | 0.000112 MXN | 0.00000126 % | 0.0000000145 | 29 de abril de 2009 |
| H. de Especialidades, "Dr. Bernardo Sepulveda Gutiérrez" Centro Médico Nacional Siglo XXI Umae Especialidades C.m.n. Siglo Xxi | Ciudad de México | 1 | 20,972.7 MXN | 2,892.8 MXN | 16 % | 0.16 | 4 de noviembre de 2017 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| JOHNSON & JOHNSON MEDICAL MEXICO, S. A. DE C. V. | 1 | 2,892.8 MXN | 16 % | 0.16 | 2017 - 2017 |
| SYNTHES S.M.P., S. DE R.L. DE C.V. | 1 | 0.000112 MXN | 0.00000126 % | 0.0000000145 | 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=060.725.8043.12")
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=060.725.8043.12')
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=060.725.8043.12')