SalesDataAnalysis
"Uncovering Profitable Insights: Navigating Sales Data for Strategic Growth"
@kaggle.aemyjutt_salesdata
"Uncovering Profitable Insights: Navigating Sales Data for Strategic Growth"
@kaggle.aemyjutt_salesdata
-In this dataset, the language was in France so I converted or mapped some col and its values to English
-There are no null values or duplicates in it
-I extract years in which sales have increased or decreased like the number of products purchase
-I also extract or split city from the address column
-I also handle a maximum number of unique values into small segments unique values
-Then I do EDA and feature engineering
CREATE TABLE sales_data (
"order_date" TIMESTAMP,
"order_id" BIGINT,
"product" VARCHAR,
"product_ean" DOUBLE,
"cat_gorie" VARCHAR,
"purchase_address" VARCHAR,
"quantity_ordered" BIGINT,
"price_each" DOUBLE,
"cost_price" DOUBLE,
"turnover" DOUBLE,
"margin" DOUBLE
);Anyone who has the link will be able to view this.