Update README.md

README.md

@@ -13,6 +13,10 @@ tags:
 ## <h1>Spongebob Transcripts Dataset 🧽</h1>
 The Spongebob Transcripts Dataset is a collection of transcripts from the beloved animated television series, Spongebob Squarepants. This dataset includes information on each line of dialogue spoken by a character, including the character's name, their replica, and the episode ID.
 
+The number of characters in the dataset: **68**
+
+Total number of words in the dataset: **~56,000 words**, **~2800 rows**, **last updated to Season 1 Episode 30**
+
 ## <h3>Dataset Overview 📊</h3>
 
 |Column      | Description                         |
@@ -24,9 +28,7 @@ The Spongebob Transcripts Dataset is a collection of transcripts from the belove
 ## <h3>System Replicas🔍</h3>
 The system replicas describe the actions and events that occur in each episode. These replicas are written in a specific format, using brackets to indicate actions and events.
 
-<h5>Replica Format</h5>
-
-**The format for a system replica:**
+**<h5>Replica Format</h5>**
 
 `{system} : [The episode opens with a bubble transition, and we see a coral reef under the sea. The camera zooms to initiate parallax scrolling, which reveals the city of Bikini Bottom. It continues zooming to show a brown rock, a Moai head, and a pineapple, which each contain inhabitants.]`
 
@@ -39,6 +41,38 @@ The system replicas describe the actions and events that occur in each episode.
 |**Spongebob**	| I  guess  so.                                                                                                                                    |s1e3_24|
 |**Patrick**	| That's  just  fancy  talk.  If  you  wanna  be  fancy,  hold  your  pinky  up  like  this.  The  higher  you  hold  it,  the  fancier  you  are. |s1e3_25| 
 
+## <h3>📊 Interactions with Dataset</h3>
+
+**<h5>Using Pandas to filter rows</h5>**
+
+1. To find all rows with a specific ep_id, you can use the following code:
+
+```
+import pandas as pd
+#Read the CSV file into a Pandas DataFrame
+df = pd.read_csv('dataset.csv')
+#Define the ep_id you want to filter by
+ep_id = 's1e2'
+#Filter the DataFrame to get rows with an ep_id that starts with the defined ep_id
+filtered_df = df[df['ep_id'].str.startswith(ep_id)]
+#Print the filtered DataFrame
+print(filtered_df)
+```
+
+2. To find rows where a specific character says a specific word or phrase, you can use the following code:
+
+```
+#Filter the DataFrame to get rows where a specific character says a specific word or phrase
+speaker = 'SpongeBob'
+word_or_phrase = 'jellyfish'
+filtered_df = df[df['speaker'] == speaker]
+filtered_df = filtered_df[filtered_df['replica'].str.contains(word_or_phrase)]
+#Print the filtered DataFrame
+print(filtered_df)
+```
+
+You can replace `SpongeBob` and `jellyfish` with any other speaker and word/phrase that you want to filter by.
+
 ## <h3>Data Sources 📝</h3>
 The transcripts were sourced *Encyclopedia SpongeBobia*.