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Classification
Medicinas y vacunas. Medicinas
IMSS product code
010.000.2898.02
Each circle represents one of the 4 purchases of COMPRA EMERGENTE 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 | 3 | 5,031 MXN | 36.8 MXN | 0.649 % | 0.0292 | 15 de julio de 2010 |
| Delegación Nayarit | Nayarit | 1 | 14,116.5 MXN | 0.000671 MXN | 0.00000476 % | 0.00000238 | 5 de octubre de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CEJA BARRAGAN NOHEMI SOLEDAD | 3 | 36.8 MXN | 0.649 % | 0.0292 | 2010 - 2010 |
| COMERCIALIZADORA MEDICA TAPATIA, S.A. DE C.V. | 1 | 0.000671 MXN | 0.00000476 % | 0.00000238 | 2009 - 2009 |
Entity type
Medicinas
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=010.000.2898.02")
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=010.000.2898.02')
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=010.000.2898.02')