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Classification
Medicinas y vacunas. Medicinas
IMSS product code
010.000.2652.00
Each circle represents one of the 13 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 Guanajuato | Guanajuato | 5 | 462.9 MXN | 15.3 MXN | 2.47 % | 0.123 | 26 de febrero de 2009 |
| Delegación Coahuila | Coahuila | 2 | 741.8 MXN | 126.4 MXN | 12.8 % | 1.02 | 9 de marzo de 2009 |
| Delegación Sinaloa | Sinaloa | 2 | 441 MXN | - MXN | - | - | 14 de enero de 2010 |
| Delegación Tamaulipas | Tamaulipas | 2 | 2,490 MXN | 233.7 MXN | 9.45 % | 1.89 | 20 de enero de 2009 |
| Delegación Yucatán | Yucatán | 2 | 261.4 MXN | 14.2 MXN | 5.73 % | 0.115 | 28 de enero de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| FARMACIAS SAN FRANCISCO DE ASIS SA DE CV | 5 | 15.3 MXN | 2.47 % | 0.123 | 2009 - 2009 |
| DISTRIBUCION ESPECIALIZADA DE MEDICAMENTOS,S.A. DE | 2 | 233.7 MXN | 9.45 % | 1.89 | 2009 - 2009 |
| IMPULSORA FARMACEUTICA DEL BAZAR, S.A. DE C.V. | 2 | 14.2 MXN | 5.73 % | 0.115 | 2009 - 2009 |
| SUPER FARMACIAS PRINCIPAL, S.A. DE C.V. | 2 | - MXN | - | - | 2010 - 2010 |
| COMERCIALIZADORA ESPECIALIDADES Y EQUIPOS, S.A. DE | 1 | 126.4 MXN | 25.6 % | 1.02 | 2009 - 2009 |
| FARMACIA GUADALAJARA, S.A. DE C.V. | 1 | - MXN | - | - | 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=010.000.2652.00")
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=010.000.2652.00')
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=010.000.2652.00')