| import streamlit as st | |
| st.title(":green[Introduction To Statistics]") | |
| st.header("Statistics") | |
| st.write("Statistics is a field which deals with data here we will collect, Interpreting, Analysing, Structuring the data andwe will observe the data values after performing techniques") | |
| st.header("Types of statistics") | |
| st.write("There are **2** types of statistics,based on type of data we collected we choose the types of statistics") | |
| st.graphviz_chart(''' | |
| digraph{ | |
| Statistics-> Descriptive Statistics | |
| Statistics-> Inferential Statistics} | |
| ''') | |
| st.subheader("Types of Data") | |
| st.graphviz_chart(''' | |
| digraph{ | |
| Data->Population | |
| Data->Sample | |
| ''') | |
| st.header(":blue[Population]:") | |
| st.write("if you have every observation related to your problem statement,then your data is called as population") | |
| st.header(":blue[Sample]:") | |
| st.write("if u don't have every observation , and you are unable to collect then your data is called as sample data") | |
| st.subheader("Descriptive Statistics:") | |
| st.write("descriptive statistics will describe your data,either it comes from population or sample") | |
| st.write("+ Descriptive statistics will give measures to our types of data") | |
| st.write("+ The measure of population data is known as :blue[parameters]") | |
| st.write("+ The measure of sample of data is known as :blue[statistics]") | |
| st.header("Measures of descriptive Statistics") | |
| st.graphviz_chart(''' | |
| digraph { | |
| Measures_of_descriptive_Statistics ->Central_Tendency | |
| Measures_of_descriptive_Statistics->variability | |
| Measures_of_descriptive_Statistics->Distribution | |
| } | |
| ''') | |
| st.subheader("1.Measure of central tendensy:") | |
| st.write("it will give measures to find central value,average value of data") | |
| st.graphviz_chart(''' | |
| digraph{ | |
| Measure_of_central_tendensy ->Median | |
| Measures_of_central_tendensy ->Mean | |
| Mean->Arithmetic_mean | |
| Mean->Geometric_mean | |
| Mean->Harmonic_mean | |
| Measures_of_central_tendency->Mode | |
| } | |
| ''') | |
| st.subheader("2.Measures of variability or dispersion:") | |
| st.write("It will give measure to know the spread of data around central value") | |
| st.write("it will give two types of measures :Absolute,Relative") | |
| st.graphviz_chart(''' | |
| digraph{ | |
| Measures_of_variability->Absolute | |
| Measures_of_variability->Relative | |
| } | |
| ''') | |
| st.write(":blue[Absolute]:") | |
| st.write("when our observations are in same unit,we can use absolute measures") | |
| st.write("Absolute will give **4** types of measures") | |
| st.graphviz_chart(''' | |
| digraph{ | |
| Absolute ->Range | |
| Absolute ->Quartile_Deviation | |
| Absolute ->Variance | |
| Absolute ->Standard_Deviation} | |
| ''') | |
| st.write(":blue[Relative]:") | |
| st.write("when our observations are in different units,we can use absolute measures") | |
| st.write("Relative will give **4** types of measures") | |
| st.graphviz_chart(''' | |
| diagraph{ | |
| Relative ->coefficient_of_range | |
| Relative ->coefficient_of_Quartile_Deviation | |
| Relative ->coefficient_of_Variance | |
| Relative ->coefficient_of_Standard_of_Standard_Deviation | |
| } | |
| ''') | |
| st.subheader("3.Distribution:") | |
| st.write("we will know the shape and nature of the data distribution") | |
| st.header("Inferential Statistics:") | |
| st.write("we will describe the population data with help of sample") |