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Description
PINZA FERRIS-KERRISON-SMITH, CORTE HACIA ARRIBA, PUNTA ANGULADA A 130 GRADOS MORDIDA DE 5 MM. LONGITUD TOTAL 180 MM.
IMSS product code
537.702.3543.01
Each circle represents one of the 6 purchases of PINZAS made by the IMSS between 2010 and 2018.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| FERNANDO MIGUEL SALAZAR DEL VALLE | 1 | 2,240 MXN | 16 % | 0.32 | 2010 - 2010 |
| IMPORTADORA MEDICA MEXICANA, S. A. | 1 | 6,728.1 MXN | 43.1 % | 0.862 | 2012 - 2012 |
| MAINEQ DE MEXICO, S.A. DE C.V. | 1 | 355.2 MXN | 16 % | 0.32 | 2011 - 2011 |
| MARBELLA ZETINA LAGUNES | 1 | 3,200 MXN | 16 % | 0.32 | 2016 - 2016 |
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 1 | 2,729.8 MXN | 16 % | 0.48 | 2018 - 2018 |
| REACTIVOS Y PRODUCTOS QUIMICOS GUERRERO, S.A. C.V. | 1 | 3,265.7 MXN | 6.97 % | 0.418 | 2012 - 2012 |
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=537.702.3543.01")
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=537.702.3543.01')
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=537.702.3543.01')