Update pages/Types Of Data.py

pages/Types Of Data.py

@@ -21,17 +21,17 @@ st.write("Examples of Nominal Data : Colour of hair (Blonde, red, Brown, Black,
 
 st.subheader("**Ordinal Data**")
 st.write("Ordinal Data - The ordinal data only shows the sequences and cannot use for statistical analysis. Compared to nominal data, ordinal data have some kind of order that is not present in nominal data.")
-st.write("Examples of Ordinal Data : When companies ask for feedback, experience, or satisfaction on a scale of 1 to 10,Letter grades in the exam (A, B, C, D, etc.),Ranking of people in a competition (First, Second, Third, etc.),Economic Status (High, Medium, and Low),Education Level (Higher, Secondary, Primary)")
+st.write("Examples of Ordinal Data : When companies ask for feedback, experience, or satisfaction on a scale of 1 to 10,Letter grades in the exam (A, B, C, D, etc.),Ranking of people in a competition (First, Second, Third, etc.),Economic Status (High, Medium, and Low),Education Level (Higher, Secondary, Primary).")
 
 st.subheader("**Quanlitative Data**")
 st.write("Quantitative data is a type of data that can be expressed in numerical values, making it countable and including statistical data analysis. These kinds of data are also known as Numerical data.It answers the questions like “how much,” “how many,” and “how often.” For example, the price of a phone, the computer’s ram, the height or weight of a person, etc.,falls under quantitative data.")
-st.write("Examples of Quantitative Data : Height or weight of a person or object,Room Temperature,Scores and Marks (Ex: 59, 80, 60, etc.),Time")
+st.write("Examples of Quantitative Data : Height or weight of a person or object,Room Temperature,Scores and Marks (Ex: 59, 80, 60, etc.),Time.")
 
 st.header("The Quantitative data are further classified into two parts :")
 
 st.subheader("**Discrete Data**")
 st.write("The discrete data are countable and have finite values; their subdivision is not possible. These data are represented mainly by a bar graph, number line, or frequency table.")
-st.write("Examples of Discrete Data :Total numbers of students present in a class,Cost of a cell phone,Numbers of employees in a company,The total number of players who participated in a competition,Days in a week")
+st.write("Examples of Discrete Data :Total numbers of students present in a class,Cost of a cell phone,Numbers of employees in a company,The total number of players who participated in a competition,Days in a week.")
 
 st.subheader("**Continuous Data**")
 st.write("Continuous data are in the form of fractional numbers. It can be the version of an android phone, the height of a person, the length of an object, etc. Continuous data represents information that can be divided into smaller levels. The continuous variable can take any value within a range.")