Figure 2 shows a string.
Figure 2
MISSISSIPPI
One method for compressing data is run length encoding (RLE). When using RLE, the data in Figure 2 become:
1M 1I 2S 1I 2S 1I 2P 1I
Explain why RLE is not a suitable method for compressing the data in Figure 2.

Run Length Encoding (RLE) is a compression algorithm that works by finding "runs" of consecutive, identical data values and storing them as a single value and a count. For example, `WWWWWHH` would be compressed to `5W2H`. In the case of the string `MISSISSIPPI`: - The original string has 11 characters. - The RLE output is `1M 1I 2S 1I 2S 1I 2P 1I`. If we count the characters needed to store this (e.g., 8 numbers and 8 letters), we get 16 characters. The primary reason RLE is unsuitable here is that **the compressed data is larger than the original data**. This phenomenon, where a compression algorithm increases the data size, is known as expansion. It occurs with RLE when the data does not contain many consecutive runs of repeating characters. In "MISSISSIPPI", most characters are not followed by the same character, so representing them as `1M`, `1I` etc., takes two characters instead of one.