filmov
tv
Data Science with Python and Anaconda Computing Statistics Measure of Tendency and Data Dispersion

Показать описание
Source Code
Statistical Calculations
1. Mean: The average age.
2. Median: The middle value of the age data.
3. Mode: The most frequently occurring age.
4. Variance: The measure of age data spread.
5. Standard Deviation: The amount of variation in age data.
6. Skewness: The asymmetry of the age distribution.
7. Range: The difference between the maximum and minimum ages.
8. Quartiles (Q1 and Q3): The 25th and 75th percentiles.
9. Quartile Deviation: Half the interquartile range.
10. Mean Deviation: The average absolute deviation from the mean.
Frequency Distribution:
1. Frequency: The number of occurrences of each age.
2. Relative Frequency: The proportion of each age relative to the total.
3. Percentage Frequency: The relative frequency expressed as a percentage.
4. Cumulative Frequency: The running total of frequencies.
5. Cumulative Relative Frequency: The running total of relative frequencies.
Other tutorial Series
VIDEO SERIES:
Data Science Web development Job Recommendation System Python Django Streamlit Part1
Data Science Web development Job Recommendation System Python Django Streamlit [ Admin Theme] Part 2
Data Science Web development Python Django Streamlit Model Training and Prediction Part 3
Data Science Web development Python Django Streamlit [View, URL and Template Rendering] Part 4
Data Science Web development Python Django Streamlit How to generate 10000 Fake Dataset CSV part5
Data Science Web development Theory. Project Overview Episode 6
OTHER STREAMLIT VIDEO SERIES
*1. Business Analytics Web Dashboard*
Live Demo:
Youtube:
*2. Analytics Website Dashboard*
Live Demo:
Youtube:
*3. Logistic Multiple Regression Analytics Web*
youtube:
Live demo:
*4. Normal Probability Distribution Analytics Web*
Live Demo:
Youtube:
*5. Python: Query Operations*
Live Demo:
Youtube:
*6. Python: Binomial Probability Distributions*
Live Demo:
Youtube:
*7. Hypothesis Testing T distribution Curve*
Live Demo:
Youtube:
*8. Frequency Distribution Table*
Live Demo:
Youtube:
*9. Geo Referencing Business Trends*
Live demo:
Youtube:
*10. Multiple Linear Regression Web Project*
Live Demo:
Youtube:
*11. Python: Web Dashboard: DashPlotly Framework and Dash*
Live Demo:
Youtube:
*12. Python: Web Dashboard using DashPlotly Framework*
Live Demo:
Youtube:
*13. Python: Multiple Linear Regression*
Live Demo:
Youtube:
*14. Logistic Regression Analysis*
Live Demo:
Youtube:
*15. PygWalker Graph Creator*
Live Demo:
Youtube:
*16. Sales Analytics Web Dashboard*
Live Demo:
Youtube:
*17. Analytics Dashboard with MySQL*
Live Demo:
Youtube:
*18. Business Intelligent Analytics Web Dashboard*
Live Demo:
Youtube:
*19. Descriptive Analytics Web Dashboard 1*
Live Demo:
Youtube:
*20. Descriptive Analytics Web Dashboard 2*
Live Demo:
Youtube:
*21. Analytics Dashboard Website with Graphs 3*
Live Demo:
Youtube:
*22. Add new Record to Excel file via Web Interface*
Live Demo:
Youtube:
*23. CrossTabulation Web App*
Live Demo:
Youtube:
Statistical Calculations
1. Mean: The average age.
2. Median: The middle value of the age data.
3. Mode: The most frequently occurring age.
4. Variance: The measure of age data spread.
5. Standard Deviation: The amount of variation in age data.
6. Skewness: The asymmetry of the age distribution.
7. Range: The difference between the maximum and minimum ages.
8. Quartiles (Q1 and Q3): The 25th and 75th percentiles.
9. Quartile Deviation: Half the interquartile range.
10. Mean Deviation: The average absolute deviation from the mean.
Frequency Distribution:
1. Frequency: The number of occurrences of each age.
2. Relative Frequency: The proportion of each age relative to the total.
3. Percentage Frequency: The relative frequency expressed as a percentage.
4. Cumulative Frequency: The running total of frequencies.
5. Cumulative Relative Frequency: The running total of relative frequencies.
Other tutorial Series
VIDEO SERIES:
Data Science Web development Job Recommendation System Python Django Streamlit Part1
Data Science Web development Job Recommendation System Python Django Streamlit [ Admin Theme] Part 2
Data Science Web development Python Django Streamlit Model Training and Prediction Part 3
Data Science Web development Python Django Streamlit [View, URL and Template Rendering] Part 4
Data Science Web development Python Django Streamlit How to generate 10000 Fake Dataset CSV part5
Data Science Web development Theory. Project Overview Episode 6
OTHER STREAMLIT VIDEO SERIES
*1. Business Analytics Web Dashboard*
Live Demo:
Youtube:
*2. Analytics Website Dashboard*
Live Demo:
Youtube:
*3. Logistic Multiple Regression Analytics Web*
youtube:
Live demo:
*4. Normal Probability Distribution Analytics Web*
Live Demo:
Youtube:
*5. Python: Query Operations*
Live Demo:
Youtube:
*6. Python: Binomial Probability Distributions*
Live Demo:
Youtube:
*7. Hypothesis Testing T distribution Curve*
Live Demo:
Youtube:
*8. Frequency Distribution Table*
Live Demo:
Youtube:
*9. Geo Referencing Business Trends*
Live demo:
Youtube:
*10. Multiple Linear Regression Web Project*
Live Demo:
Youtube:
*11. Python: Web Dashboard: DashPlotly Framework and Dash*
Live Demo:
Youtube:
*12. Python: Web Dashboard using DashPlotly Framework*
Live Demo:
Youtube:
*13. Python: Multiple Linear Regression*
Live Demo:
Youtube:
*14. Logistic Regression Analysis*
Live Demo:
Youtube:
*15. PygWalker Graph Creator*
Live Demo:
Youtube:
*16. Sales Analytics Web Dashboard*
Live Demo:
Youtube:
*17. Analytics Dashboard with MySQL*
Live Demo:
Youtube:
*18. Business Intelligent Analytics Web Dashboard*
Live Demo:
Youtube:
*19. Descriptive Analytics Web Dashboard 1*
Live Demo:
Youtube:
*20. Descriptive Analytics Web Dashboard 2*
Live Demo:
Youtube:
*21. Analytics Dashboard Website with Graphs 3*
Live Demo:
Youtube:
*22. Add new Record to Excel file via Web Interface*
Live Demo:
Youtube:
*23. CrossTabulation Web App*
Live Demo:
Youtube: