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Description
TIJERA KATZIN, CURVA A LA IZQUIERDA, LONGITUD DE 95 A 100 MM.
IMSS product code
537.857.0385.01
Each circle represents one of the 8 purchases of TIJERA OFTÁLMICA made by the IMSS between 2010 and 2017.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ESCOBEDO REYES EDUARDO FELIPE | 2 | 2,297.2 MXN | 30.8 % | 0.939 | 2010 - 2011 |
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 2 | 430.5 MXN | 4.7 % | 0.188 | 2010 - 2011 |
| DEWIMED, S. A. | 1 | 3,605.1 MXN | 47.4 % | 0.948 | 2012 - 2012 |
| HIDRO HOSPITAL, S.A. DE C.V. | 1 | 600 MXN | 16 % | 0.16 | 2017 - 2017 |
| MIRA DE OCCIDENTE S.A DE C.V. | 1 | - MXN | - | - | 2012 - 2012 |
| NEODREN, S. DE R. L. DE C. V. | 1 | 97.4 MXN | 16 % | 0.16 | 2015 - 2015 |
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=537.857.0385.01")
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=537.857.0385.01')
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=537.857.0385.01')