Update pages/1_Introduction to Data_Analysis.py

pages/1_Introduction to Data_Analysis.py

@@ -40,4 +40,38 @@ Examples of semi-structured data is - csv files, json files and xml files
 '''
 st.image("https://cdn-uploads.huggingface.co/production/uploads/66bde9bf3c885d04498227a0/Gz_AZKg8M7e9K96TsVenU.png")
 st.markdown(multi)
-
+st.header("**Steps in Data Analysis**")
+st.markdown('''Basically there are 7 steps involved to perform complete data analysis''')
+st.subheader(":blue[1.Problem Statement]")
+multi = '''Basically when the data is collected and need to perform data analysis the first step is problem statement - it is concise description for the problem needs to be solved.
+It gives major blueprint for the data analysis as it clearly identifies the specific issue that needs to be addressed.
+'''
+st.markdown(multi)
+st.subheader(":blue[2.Data Collection]")
+multi = '''After analyzing the major issue that needs to be addressed we need to collect the data which is related to the particular issue .
+Data needs to collected in differenr formats from many sources, websites etc... so that we can perform analysis in easier way.
+We can gather data or collect the data from previous one with the help of stake holders and domain experts.
+'''
+st.markdown(multi)
+st.subheader(":blue[3.Simple EDA(Exploratory Data Analysis)")
+multi = '''After collecting the data we need to check whether the collected data has any impurities or not.
+For that we need simple EDA which gives the information about collected data has any impurities or not.
+If the collected data doesn’t have any impurities then directly go for EDA phase else it goes to pre-processing phase
+'''
+st.markdown(multi)
+st.subheader(":blue[4.Pre-processing]")
+multi = '''If the collected data has any impurities it performs cleaning the data and then transforming the data.
+It cleans any sort of impurities and performs cleaning process.
+Raw data ---> Cleaned data'''
+st.markdown(multi)
+st.subheader(":blue[5.EDA]")
+multi = '''After the pre-processing phase the data goes through EDA process which unveil all the hidden insights from the data'''
+st.markdown(multi)
+st.subheader(":blue[6.Visualization]")
+multi='''After the insights are found from the collected data - the insights goes through the many visualization techniques as they are represented further in dashboard format
+'''
+st.markdown(multi)
+st.subheader(":blue[7.Story Telling]")
+multi = '''Final step in the data analysis as it is foremost important because the client doen't understand the the data that is in dashboard format ...
+So we need to explain or analyse the clients so that they can understand the data .So majorly deployment plays major role in data analysis'''
+st.markdown(multi)