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Classification
Medicinas y vacunas. Medicinas
IMSS product code
010.000.4057.00
Each circle represents one of the 7 purchases of COMPRA EMERGENTE made by the IMSS between 2009 and 2009.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Morelos | Morelos | 7 | 41,276.6 MXN | 4,580.3 MXN | 14.5 % | 5.77 | 19 de noviembre de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| Proveedor local no identificado (Compra Emergente) | 3 | 174.7 MXN | 7.33 % | 0.22 | 2009 - 2009 |
| GALLARDO FLORES CAMILO | 2 | 3,048.3 MXN | 25.6 % | 3.84 | 2009 - 2009 |
| CHEMICAL EXPRESS, S.A. DE C.V. | 1 | - MXN | - | - | 2009 - 2009 |
| MINERVA VILLARREAL ASCENCIO | 1 | 1,357.3 MXN | 28.5 % | 1.71 | 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=010.000.4057.00")
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=010.000.4057.00')
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=010.000.4057.00')