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Description
Compra Emergente
IMSS product code
060.125.0244.03
Each circle represents one of the 4 purchases of BOLSAS made by the IMSS between 2010 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Baja California | Baja California | 2 | 1,463.4 MXN | - MXN | - | - | 18 de noviembre de 2010 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 1 | 26,837.8 MXN | 4,444.3 MXN | 19.8 % | 574 | 27 de octubre de 2010 |
| Delegación Sinaloa | Sinaloa | 1 | 18.5 MXN | - MXN | - | - | 6 de enero de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CHEMICAL EXPRESS, S.A. DE C.V. | 1 | - MXN | - | - | 2010 - 2010 |
| COMERCIALIZADORA RIHE SA DE CV | 1 | 4,444.3 MXN | 19.8 % | 574 | 2010 - 2010 |
| COMETA MERCANTIL, S.A. DE C.V. | 1 | - MXN | - | - | 2010 - 2010 |
| GONZALEZ FLORES CARLOS ALBERTO | 1 | - MXN | - | - | 2010 - 2010 |
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=060.125.0244.03")
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=060.125.0244.03')
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=060.125.0244.03')