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Description
SUERO PARA TIPIFICAR LA SANGRE ANTI LEWIS B. FRASCO CON 2 ML. RTC
IMSS product code
080.835.6919.02
Each circle represents one of the 11 purchases of SUEROS PARA TIPIFICAR LA SANGRE MEDIOS PROTEICOS ENZIMAS Y ANTÍGENOS made by the IMSS between 2009 and 2013.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| PIZAYA MOLINA JAIME ARTURO | 2 | 17,554.4 MXN | 11.1 % | 4 | 2012 - 2012 |
| QUIMICA INDUSTRIAL Y DE SALUD, SA DE CV | 2 | 23,776.3 MXN | 7.63 % | 6.1 | 2009 - 2011 |
| BIOLOGISTICA INTEGRAL, S.A. DE C.V. | 1 | 186.2 MXN | 4.78 % | 0.0478 | 2009 - 2009 |
| COMERCIALIZADORA GLAVS, S.A. DE C.V. | 1 | 8,401.1 MXN | 191.6 % | 1.92 | 2012 - 2012 |
| COMERCIALIZADORA LUIV, S. A. DE C. V. | 1 | 6,838.3 MXN | 85.9 % | 1.72 | 2011 - 2011 |
| CORPORATIVO LAYN PLUS, S. A. DE C. V. | 1 | 7,952 MXN | 16 % | 2.24 | 2010 - 2010 |
| DIAGNOSTICA NUEVA ACCION, S. A. DE C. V. | 1 | - MXN | - | - | 2011 - 2011 |
| LABSSA, S.A. DE C.V. | 1 | 136.3 MXN | 3.42 % | 0.0342 | 2011 - 2011 |
| PROVEEDORA MEX. DE ARTS. DE CUR. Y LAB, SA CV | 1 | 2,880 MXN | 16 % | 0.32 | 2013 - 2013 |
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=080.835.6919.02")
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=080.835.6919.02')
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=080.835.6919.02')