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Description
TIRAS DE FLUORACINA, PARA USO OFTALMOLOGICO.
IMSS product code
060.889.0216.10
Each circle represents one of the 2 purchases of TIRAS made by the IMSS between 2010 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Quintana Roo | Quintana Roo | 1 | 743.7 MXN | 384.8 MXN | 107.2 % | 1.19 | 16 de febrero de 2010 |
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 1 | 2,223.7 MXN | - MXN | - | - | 26 de marzo de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABASTECEDOR HOSPITALARIO DE CANCUN, S.A. DE C.V. | 1 | 384.8 MXN | 107.2 % | 1.19 | 2010 - 2010 |
| SOLUMEDI, S.A. DE C.V. | 1 | - MXN | - | - | 2010 - 2010 |
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=060.889.0216.10")
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=060.889.0216.10')
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=060.889.0216.10')