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Description
PIPETA MANUAL, DE VIDRIO, LINEAL TERMINAL, CON SUBDIVI-SIONES DE 0.1 ML PARA MEDIRVOLUMENES DE: 5.0 ML EXACTITUD +-1%.
IMSS product code
080.705.0026.10
Each circle represents one of the 2 purchases of PIPETAS made by the IMSS between 2011 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 2 | 21,808.2 MXN | 3,008 MXN | 16 % | 173 | 16 de febrero de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CONTROL TECNICO Y REPRESENTACIONES, S. A. DE C. V. | 1 | 839 MXN | 16 % | 44.2 | 2012 - 2012 |
| SEALAB, S.A. DE C.V. | 1 | 2,169 MXN | 16 % | 128.8 | 2011 - 2011 |
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=080.705.0026.10")
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=080.705.0026.10')
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=080.705.0026.10')