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Description
CINTA DE FILAMENTOS DE FI- -BRAS POLIESTER TRENZADO LONG30 CM, ANCHO 5 MM.
IMSS product code
060.203.0496.03
Each circle represents one of the 2 purchases of CINTAS made by the IMSS between 2018 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Aguascalientes Almacen Delegacional En Aguascalientes | Aguascalientes | 1 | 81,189.4 MXN | 26,363.2 MXN | 48.1 % | 1.92 | 14 de junio de 2018 |
| Delegación Morelos Almacen Delegacional En Morelos | Morelos | 1 | 14,208.1 MXN | - MXN | - | - | 28 de marzo de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| GRUPO EMEQUR, S.A. DE C.V. | 1 | 26,363.2 MXN | 48.1 % | 1.92 | 2018 - 2018 |
| JOHNSON & JOHNSON MEDICAL MEXICO, S. A. DE C. V. | 1 | - MXN | - | - | 2018 - 2018 |
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=060.203.0496.03")
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=060.203.0496.03')
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=060.203.0496.03')