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Classification
Medicinas y vacunas. Medicinas
IMSS product code
010.000.5351.00
Each circle represents one of the 14 purchases of COMPRA EMERGENTE made by the IMSS between 2009 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Morelos | Morelos | 8 | 3,036.2 MXN | 735.3 MXN | 32.6 % | 2.61 | 25 de septiembre de 2010 |
| Delegación Coahuila | Coahuila | 2 | 8,215.6 MXN | 1,634.6 MXN | 13 % | 6.52 | 20 de octubre de 2010 |
| Delegación Michoacán | Michoacán | 2 | 908 MXN | - MXN | - | - | 18 de noviembre de 2010 |
| Delegación Campeche | Campeche | 1 | 571 MXN | - MXN | - | - | 17 de enero de 2011 |
| Delegación Zacatecas | Zacatecas | 1 | 341.2 MXN | 90.7 MXN | 36.2 % | 0.362 | 4 de enero de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| COMERCIALIZADORA FARMACEUTICA DE CHIAPAS SA DE CV | 5 | 527.4 MXN | 38.7 % | 1.94 | 2009 - 2010 |
| FARMACIAS POLIMAR SA DE CV | 2 | - MXN | - | - | 2010 - 2010 |
| GARCIA VERGARA ALEJANDRINA | 2 | 208 MXN | 33.5 % | 0.671 | 2009 - 2009 |
| DEFA, S.A. DE C.V. | 1 | - MXN | - | - | 2011 - 2011 |
| FARMACIA CERNEF, SA DE CV | 1 | 90.7 MXN | 36.2 % | 0.362 | 2010 - 2010 |
| GRUPO FARMACOS ESPECIALIZADOS, S. A. DE C. V. | 1 | - MXN | - | - | 2010 - 2010 |
| NUEVA WAL MART DE MEXICO, S. DE R.L. DE C.V. | 1 | - MXN | - | - | 2009 - 2009 |
| NUEVO MILENIO DISTRIB. Y MEDICAMENTOS, S.A. DE C.V | 1 | 1,634.6 MXN | 26.1 % | 6.52 | 2010 - 2010 |
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=010.000.5351.00")
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=010.000.5351.00')
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=010.000.5351.00')