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Classification
Medicinas y vacunas. Medicinas
IMSS product code
010.000.3258.00
Each circle represents one of the 4 purchases of COMPRA EMERGENTE made by the IMSS between 2010 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Guanajuato | Guanajuato | 3 | 1,420 MXN | - MXN | - | - | 20 de enero de 2012 |
| Delegación Coahuila | Coahuila | 1 | 3,026.5 MXN | 0.000061 MXN | 0.00000202 % | 0.000000101 | 9 de febrero de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SOLUCIONES INTRAHOSPITALARIAS DE LEON, S.A. DE C.V | 2 | - MXN | - | - | 2012 - 2012 |
| CHEMICAL EXPRESS, S.A. DE C.V. | 1 | 0.000061 MXN | 0.00000202 % | 0.000000101 | 2010 - 2010 |
| INTER FARMACEUTICA DEL BAJIO, S.A. DE C.V. | 1 | - MXN | - | - | 2012 - 2012 |
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=010.000.3258.00")
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=010.000.3258.00')
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=010.000.3258.00')