Descriptive Analysis of Food Outlet Transaction Data

Oct 14, 2024, 6:58 AM

gupta chat bahndar 121.csv

Missing file

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The dataset contains information about various transactions at a food outlet. Here's a summary of the descriptive statistics:
  • Order ID: Ranges from 1 to 1000, with a mean of 500.5.
  • Item Name: There are 7 unique items, with 'Cold coffee' being the most frequent.
  • Item Type: There are 2 types, with 'Fastfood' being the most common.
  • Item Price: Ranges from 20 to 60, with a mean of 33.31.
  • Quantity: Ranges from 1 to 15, with a mean of 8.16.
  • Transaction Amount: Ranges from 20 to 900, with a mean of 275.23.
  • Transaction Type: There are 3 types, with 'Cash' being the most frequent.
  • Received By: There are 2 categories, with 'Male' being the most common.
  • Time of Sale: There are 5 different times, with 'Night' being the most frequent.
These statistics provide a comprehensive overview of the dataset, highlighting the distribution and frequency of different attributes. If you have any specific questions or need further analysis, feel free to ask!

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Can you show the correlation between numerical variables?

The correlation matrix for the numerical variables is as follows:
  • Item Price and Quantity: The correlation is approximately 0.05, indicating a very weak positive correlation.
  • Item Price and Transaction Amount: The correlation is approximately 0.64, indicating a moderate positive correlation.
  • Quantity and Transaction Amount: The correlation is approximately 0.73, indicating a strong positive correlation.
These correlations suggest that as the quantity increases, the transaction amount tends to increase as well. Similarly, higher item prices are associated with higher transaction amounts, but the relationship is not as strong as with quantity.
If you have any further questions or need additional analysis, feel free to ask!

Can you show a trend of sales over time?

Can you show a trend of sales over time? and describe the whole analysis

Can you show a trend of sales over time? and describe the whole analysis

Analysis Summary

  1. Descriptive Statistics:
    • The dataset contains 1000 records with various attributes such as item_name, item_type, item_price, quantity, transaction_amount, transaction_type, received_by, and time_of_sale.
    • The average item price is approximately 33.32, with a standard deviation of 14.92.
    • The average transaction amount is approximately 275.23, with a standard deviation of 204.40.
  2. Distribution of Transaction Amounts:
    • The histogram shows that most transactions are clustered around lower amounts, with a few higher transactions.
  3. Box Plot of Item Prices:
    • The box plot indicates the spread of item prices, with some outliers on the higher end.
  4. Count of Transaction Types:
    • Cash transactions are the most frequent, followed by card and online transactions.
  5. Count of Time of Sale:
    • Most sales occur during the night, followed by afternoon and evening.
  6. Correlation Analysis:
    • There is a strong positive correlation between quantity and transaction_amount (0.73).
    • A moderate positive correlation exists between item_price and transaction_amount (0.64).
  7. Trend of Sales Over Time:
    • The line plot shows fluctuations in transaction amounts over time, with some peaks indicating higher sales periods.
Overall, the analysis provides insights into sales patterns, transaction types, and correlations between different variables. The trend analysis suggests variability in sales, which could be explored further to identify factors influencing these changes.
If you have any further questions or need additional analysis, feel free to ask!

What is the most popular item sold?

The most popular item sold is Cold Coffee, with a total of 161 sales.
If you have any more questions or need further analysis, feel free to ask!

How does the transaction type affect sales?

The total sales for each transaction type are as follows:
  • Cash: $132,840
  • Online: $110,595
  • Card: $31,795
From this analysis, we can see that cash transactions account for the highest total sales, followed by online transactions. Card transactions contribute the least to the total sales.
This suggests that cash is the preferred method of payment among customers, which could be due to various factors such as convenience or customer preference.
If you have any more questions or need further analysis, feel free to ask!
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