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Description
Compra Emergente
IMSS product code
060.040.0303.13
Each circle represents one of the 2 purchases of AGUJAS made by the IMSS between 2010 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Veracruz Norte | Veracruz | 1 | 125.9 MXN | 0.000403 MXN | 0.00032 % | 0.00000742 | 28 de mayo de 2010 |
| H. de Pediatría, Centro Médico Nacional Siglo XXI Umae Pediatria C.m.n. Siglo Xxi | Ciudad de México | 1 | 4,785 MXN | 660 MXN | 16 % | 24 | 29 de mayo de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICOS E HIPODERMICOS DEL NORESTE, SA DE CV | 1 | 0.000403 MXN | 0.00032 % | 0.00000742 | 2010 - 2010 |
| ULTRA TECNOLOGIA, S.A. DE C.V. | 1 | 660 MXN | 16 % | 24 | 2012 - 2012 |
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=060.040.0303.13")
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=060.040.0303.13')
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=060.040.0303.13')