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Description
MEDIOS DE CONTRASTE. GRUPO9: LIPOSOLUBLES. INDICACIO-NES: LINFOGRAFIA Y FIST ULO-GRAFIA. ESTERES ETILICOS DELOS ACIDOS GRASOS.
IMSS product code
070.586.0013.10
Each circle represents one of the 27 purchases of MEDIOS DE CONTRASTE made by the IMSS between 2009 and 2018.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| GUERBET MEXICANA, S. A. DE C. V. | 18 | 56,552.3 MXN | 18.3 % | 66.6 | 2009 - 2015 |
| CONTRASTES Y EQUIPOS RADIOLOGICOS, SA DE CV | 2 | 2,312.4 MXN | 16.9 % | 2.71 | 2014 - 2014 |
| CORPORACION ARMO, S.A. DE C.V. | 2 | 3,127.3 MXN | 8.68 % | 2.6 | 2013 - 2013 |
| DISTRIBUIDORA MORA ESPECIALISTA EN EQUIPO MEDICO, | 2 | 26,976 MXN | 16 % | 6.72 | 2017 - 2018 |
| LEVBETH MEDICAL, S.A. DE C.V. | 1 | - MXN | - | - | 2015 - 2015 |
| PROVEEDORA RM, S. A. DE C. V. | 1 | 34,600.2 MXN | 180 % | 28.8 | 2013 - 2013 |
| ROCHA MEZA MARIA GUADALUPE | 1 | 1,425 MXN | 59.3 % | 1.19 | 2013 - 2013 |
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=070.586.0013.10")
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=070.586.0013.10')
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=070.586.0013.10')