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Description
VIMENTINA (AC PRIMARIO) RTC.
IMSS product code
080.070.0270.10
Each circle represents one of the 79 purchases of SUSTANCIAS BIOLÓGICAS made by the IMSS between 2009 and 2018.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| RAMIREZ ROMERO JESUS ARMANDO | 23 | 48,408.2 MXN | 24.3 % | 10.1 | 2009 - 2015 |
| DIAGNOCELL LABORATORIOS, S.A. DE C.V. | 17 | 49,465.2 MXN | 29.5 % | 10.9 | 2009 - 2017 |
| GRUPO JIM PERTH, S.A. DE C.V. | 10 | 20,140.4 MXN | 16.1 % | 2.76 | 2017 - 2018 |
| CORPORACION MEDIGROUP S. DE R.L. DE C.V. | 5 | 7,043.8 MXN | 12.2 % | 1.22 | 2012 - 2018 |
| CUBILLAS PUNARO MARCO ANTONIO | 4 | 15,058.3 MXN | 46.7 % | 2.9 | 2012 - 2015 |
| TECNOLOGIA INTEGRAL PARA LABORATORIOS, S.A. DE C.V | 4 | 996 MXN | 0.261 % | 0.115 | 2015 - 2018 |
| BIOCARE MEDICAL REPRESENTANTE, S.A. DE C.V. | 3 | 40,623.8 MXN | 14.2 % | 4.67 | 2016 - 2017 |
| QUIMICOS UNIVERSAL VILLAVICENCIO, S. A. DE C. V. | 3 | 25,664.3 MXN | 26.1 % | 4.81 | 2013 - 2014 |
| COMERCIAL BIOMEDICO JR. S. A. DE C. V. | 2 | 478.1 MXN | 2.72 % | 0.12 | 2009 - 2010 |
| COMERCIALIZADORA JOMAYER, S.A. DE C.V. | 2 | 11,846.5 MXN | 141.9 % | 2.84 | 2009 - 2009 |
| INDUSTRIAS BIOSELEC, S.A. DE C.V. | 2 | 7,332.2 MXN | 24.8 % | 1.76 | 2009 - 2010 |
| INTERACTIVOS PARA LABORATORIO S.A. DE C.V. | 2 | 504.8 MXN | 3.02 % | 0.121 | 2009 - 2009 |
| DESARROLLO Y TECNOLOGIA EMPRESARIAL, S.A. DE C.V. | 1 | 14,606.8 MXN | 102.9 % | 2.06 | 2018 - 2018 |
| SISTEMAS E INST. P/ LABORATORIO Y HOSPITAL. SA DE | 1 | 77,743.1 MXN | 55.2 % | 6.63 | 2016 - 2016 |
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=080.070.0270.10")
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=080.070.0270.10')
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=080.070.0270.10')