Creating and Cleaning an Excel Sheet for Artificial Neural Network Data

This guide will provide a structured approach to creating, cleaning, and visualizing artificial neural network (ANN) data in Excel. The process includes data preparation, cleaning steps, and creating various plots (scatter plot, time series, radar plot, and Mean Square Error plot).

Step 1: Data Preparation

1. Import Data: Use Excel's data import options to bring your ANN data into the sheet.
2. Headers: Ensure your data contains headers for easy reference. Typical headers might include: Epoch, Training_Loss, Validation_Loss, MSE, Accuracy, and other relevant metrics.

Step 2: Data Cleaning

To clean the data, we utilize the following Excel functions:

1. Remove Duplicates:

   • Select the data range.
   • Navigate to the Data tab and select Remove Duplicates.

2. Handle Missing Values:

   • Use the IFERROR function or the =NA() function to flag missing entries. Example formula to replace missing values in Training Loss with zero: =IF(ISBLANK(B2), 0, B2)

3. Normalize Data: To ensure the data scales properly, we may want to normalize the columns: Formula to normalize Training Loss values (assuming Training Loss is in column B): = (B2 - MIN(B$2:B$100)) / (MAX(B$2:B$100) - MIN(B$2:B$100))

Step 3: Data Presentation

A. Scatter Plot

1. Select Data: Highlight the Training_Loss and Validation_Loss columns.
2. Insert Scatter Plot:
   • Go to the Insert tab.
   • Select Scatter and choose the first scatter plot option.

B. Time Series Plot

1. Select Data: Highlight the Epoch and Training_Loss columns.
2. Insert Line Chart:
   • Go to the Insert tab.
   • Click on Line Chart and select the basic line option.

C. Radar Plot

1. Prepare Data: Create a new table summarizing metrics (accuracy, loss) for different models or epochs.
2. Insert Radar Chart:
   • Highlight the summary data.
   • Navigate to the Insert tab, select Other Charts, and then Radar.

D. Mean Square Error (MSE) Plot

1. Select Data: Highlight the Epoch and MSE columns.
2. Insert Line Chart:
   • Go to the Insert tab.
   • Choose Line Chart for this representation.

Step 4: Displaying Mean Square Error

To calculate Mean Square Error, you can extract values from the data using the following formula:

MSE formula, assuming your actual values are in column C and predictions in column D: =AVERAGE((C2:C100 - D2:D100)^2)

MSE Visualization

1. Select Data: Highlight the calculated MSE values.
2. Insert a Chart: Use a line or bar chart to visualize MSE progression over epochs.

Summary of Key Formulas

Conclusion

By following the above steps, you can effectively create and clean your ANN data in Excel, visualize key metrics through various plots, and analyze performance over time. For more detailed learning on data manipulation and visualization techniques, consider exploring the courses available on the Enterprise DNA Platform.