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Description
TUBO ENDOTRAQUEAL, DE PLASTICO GRADO MEDICO, CON GLOBO YESPIRAL DE ALAMBRE, CON BALON Y CONECTOR, OPACO A LOSRAYOS X, ESTERIL CAL 38 FR YDE LONG 32 A 36 CM.
IMSS product code
060.168.1943.01
Each circle represents one of the 2 purchases of TUBOS made by the IMSS between 2010 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 1 | 316.4 MXN | 31.4 MXN | 11 % | 1.65 | 4 de octubre de 2010 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 74.2 MXN | 10.2 MXN | 16 % | 0.32 | 7 de diciembre de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| GRUPO KASTARI SA DE CV | 1 | 31.4 MXN | 11 % | 1.65 | 2010 - 2010 |
| RD GRUPO MEDICO, S.A. DE C.V. | 1 | 10.2 MXN | 16 % | 0.32 | 2011 - 2011 |
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=060.168.1943.01")
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=060.168.1943.01')
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=060.168.1943.01')