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Description
Compra Emergente
IMSS product code
060.841.0742.04
Each circle represents one of the 5 purchases of SUTURAS made by the IMSS between 2009 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Guerrero | Guerrero | 3 | 3,201.9 MXN | 238.2 MXN | 5.91 % | 0.816 | 12 de octubre de 2009 |
| Delegación Baja California | Baja California | 1 | 6,281.5 MXN | - MXN | - | - | 5 de febrero de 2010 |
| Delegación Coahuila | Coahuila | 1 | 828 MXN | - MXN | - | - | 29 de octubre de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MANRIQUEZ GUADARRAMA MA. | 2 | 238.2 MXN | 8.86 % | 0.816 | 2009 - 2009 |
| LARA GARCIA ADRIANA | 1 | - MXN | - | - | 2009 - 2009 |
| MEDICA DALI, S. A. DE C. V. | 1 | - MXN | - | - | 2009 - 2009 |
| RIOS MALDONADO MIGUEL | 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=060.841.0742.04")
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=060.841.0742.04')
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=060.841.0742.04')