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Description
Para exploración ambidiestro estériles. De látex desechables. Tamaños: Grande
Classification
Material médico. Material de curacion
IMSS product code
060.456.0409.00
Presentation
Envase con 100 piezas
Each circle represents one of the 4 purchases of GUANTES made by the IMSS between 2009 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Baja California | Baja California | 2 | 17,358.8 MXN | 0.00000000000182 MXN | 0.00000000000000556 % | 0.000000000000021 | 10 de septiembre de 2010 |
| Delegación Guerrero | Guerrero | 2 | 6,789.6 MXN | - MXN | - | - | 22 de diciembre de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MANRIQUEZ GUADARRAMA MA. | 2 | - MXN | - | - | 2009 - 2009 |
| QUEZADA ROMERO MIGUEL ANGEL | 2 | 0.00000000000182 MXN | 0.00000000000000556 % | 0.000000000000021 | 2010 - 2010 |
Entity type
Material de curacion
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=060.456.0409.00")
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=060.456.0409.00')
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=060.456.0409.00')