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Description
Compra Emergente
IMSS product code
060.168.6645.03
Each circle represents one of the 2 purchases of CATÉTERES 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 | 1 | 1,165.5 MXN | 1,149.8 MXN | 7,305.3 % | 162.2 | 22 de abril de 2010 |
| Delegación Nayarit | Nayarit | 1 | 2,088 MXN | - MXN | - | - | 26 de noviembre de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| GRUPO LAPCIT, S.A. DE C.V. | 1 | - MXN | - | - | 2010 - 2010 |
| MARIA ELENA MORA PEREA | 1 | 1,149.8 MXN | 7,305.3 % | 162.2 | 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=060.168.6645.03")
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=060.168.6645.03')
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=060.168.6645.03')