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Description
PIPETA MANUAL, DE VIDRIO, LINEAL TERMINAL, CON SUBDIVI-SIONES DE 0.1 ML PARA MEDIRVOLUMENES DE: 10.0 ML EXACTITUD +-1%.
IMSS product code
080.705.0034.10
Each circle represents one of the 3 purchases of PIPETAS made by the IMSS between 2010 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades, "Dr. Antonio Fraga Mouret" Centro Médico Nacional La Raza Umae Especialidades C.m.n. La Raza | Ciudad de México | 2 | 3,113.9 MXN | 880.5 MXN | 41.1 % | 49.3 | 12 de mayo de 2011 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 1 | 16,194 MXN | 1,782.7 MXN | 12.4 % | 102.5 | 1 de enero de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| FCD LABS, S.A. DE C.V. | 2 | 880.5 MXN | 41.1 % | 49.3 | 2010 - 2011 |
| SEALAB, S.A. DE C.V. | 1 | 1,782.7 MXN | 12.4 % | 102.5 | 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=080.705.0034.10")
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=080.705.0034.10')
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=080.705.0034.10')