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Description
MEDIO DE CULTIVO MC COY 5A -RTC.
IMSS product code
080.610.0640.10
Each circle represents one of the 14 purchases of MEDIOS DE CULTIVO made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. General, "Dr. Gaudencio González Garza" Centro Médico Nacional La Raza Umae Hospital General C.m.n. La Raza | Ciudad de México | 11 | 125,923.4 MXN | 28,563.7 MXN | 31.5 % | 342.5 | 21 de noviembre de 2018 |
| Delegación Puebla Almacen Delegacional En Puebla | Puebla | 1 | 3,864 MXN | - MXN | - | - | 1 de enero de 2009 |
| H. de Especialidades, "Dr. Antonio Fraga Mouret" Centro Médico Nacional La Raza Umae Especialidades C.m.n. La Raza | Ciudad de México | 1 | 608 MXN | - MXN | - | - | 23 de octubre de 2009 |
| H. de Pediatría, Centro Médico Nacional Siglo XXI Umae Pediatria C.m.n. Siglo Xxi | Ciudad de México | 1 | 5,261.8 MXN | 986.8 MXN | 23.1 % | 2.77 | 27 de marzo de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| EMPRESAS ERI, S. A. DE C. V. | 4 | 4,298.4 MXN | 16 % | 14.4 | 2014 - 2014 |
| ODICALP, S.A. DE C.V. | 4 | 7,030.8 MXN | 23.2 % | 24.4 | 2017 - 2018 |
| ABASTECEDORA INTEGRAL ESPECIALIZADA, SA DE CV | 1 | 986.8 MXN | 23.1 % | 2.77 | 2018 - 2018 |
| CONTROL TECNICO Y REPRESENTACIONES, S. A. DE C. V. | 1 | 14,787 MXN | 157.9 % | 94.8 | 2009 - 2009 |
| JUAREZ GONZALEZ AMADA | 1 | 997.6 MXN | 16 % | 204 | 2012 - 2012 |
| LABORATORIOS AULIS, S. A. DE C. V. | 1 | 1,449.9 MXN | 16 % | 4.96 | 2013 - 2013 |
| MUNGUIA LOPEZ LAURA VANESA | 1 | - MXN | - | - | 2009 - 2009 |
| RAMIREZ ROMERO JESUS ARMANDO | 1 | - MXN | - | - | 2009 - 2009 |
Date updated in QQW
3 de octubre de 2022
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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=080.610.0640.10")
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=080.610.0640.10')
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=080.610.0640.10')