To count the frequency of specific items or values in a dataset, you can follow these steps:
1. Determine the dataset or list of items/values that you want to count.
2. Create a new empty list or dictionary to store the frequency counts.
3. Iterate over each item/value in the dataset/list.
4. Check if the item/value is already present in the frequency list/dictionary. If so, increment the count by 1. If not, add the item/value to the frequency list/dictionary with a count of 1.
5. After iterating over all items/values in the dataset/list, the frequency list/dictionary will contain the counts for each unique item/value.
0 votes Thanks 0
jialorraine19
it is based on frequency distribution.
Answers & Comments
Step-by-step explanation:
To count the frequency of specific items or values in a dataset, you can follow these steps:
1. Determine the dataset or list of items/values that you want to count.
2. Create a new empty list or dictionary to store the frequency counts.
3. Iterate over each item/value in the dataset/list.
4. Check if the item/value is already present in the frequency list/dictionary. If so, increment the count by 1. If not, add the item/value to the frequency list/dictionary with a count of 1.
5. After iterating over all items/values in the dataset/list, the frequency list/dictionary will contain the counts for each unique item/value.