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Description
GUANTE PARA EXPLORACION. DELATEX, ESTERIL, DESECHABLE,CHICO.
IMSS product code
060.456.0383.01
Each circle represents one of the 2 purchases of GUANTES made by the IMSS between 2009 and 2016.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Baja California | Baja California | 1 | 12,212.8 MXN | 0.00447 MXN | 0.0000366 % | 0.000000403 | 4 de diciembre de 2009 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 192,451 MXN | 26,545 MXN | 16 % | 340.3 | 10 de marzo de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DENTILAB, S. A. DE C. V. | 1 | 26,545 MXN | 16 % | 340.3 | 2016 - 2016 |
| MARIA ELENA MORA PEREA | 1 | 0.00447 MXN | 0.0000366 % | 0.000000403 | 2009 - 2009 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=060.456.0383.01")
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=060.456.0383.01')
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=060.456.0383.01')