This is about analyzing movie data in any perspective

1. ANDHIARIZQI MULYAWAN
https://www.linkedin.com/in/andhiarizqi19/
https://github.com/andhiarizqi19
DATA ANALYTICS PROJECT

2. https://raw.githubusercontent.com/Christiankandinata/RevoU/main/MC/movie_data.csv
TOOLS USED
DATA SOURCES
UNDERSTANDING PROBLEM
● Which most profitable movies all-time?
● Which most favourite genres all-time?
● What about business trend in the last 5 years?

3. METHODOLOGY
DATA CLEANING
1. Cleaning duplicates and null data
2. Changing data type
3. Adding new criteria
DATA ANALYSIS
No complex analysis, just decide
where data that want to be
shown, based on data
understanding
DATA
PREPARATION
Getting data
from website
in GitHub
DATA UNDERSTANDING
Understanding
the data, then
choose the best
criteria to be
shown and way to
clean it
DATA VISUALIZATION
Running query and visualizing
the data with table, diagram or
chart

4. PYTHON ANALYSIS STEP

5. PYTHON ANALYSIS STEP

6. PYTHON ANALYSIS STEP

7. PYTHON ANALYSIS STEP

8. PYTHON ANALYSIS STEP

9. ● Add new field in Google Data Studio (Profit) to know about movie’s profit. Then use diagram to describe most profitable movie
DATA STUDIO VISUALIZATION
● Use pie chart to describe the most favourite genres, then use table to find the most favourite comedy movie based on IMdB

10. Avatar is amazingly achieved the most profitable movies, with $523.505.847 in their hand

11. That is a big preference to comedy, as a favourite genre of movies. With Forrest Gump is the most funniest
comedy movie based on internet user.

12. Movies’ business is awful in the last 5 years, because there are decreasing money that could get from, with 2016
is the lowest year of profit. There is just a little gap between gross and budget production in that year

13. CONCLUSION
● Avatar is the most profitable movie during 1927-2016, with $523.505.847 profit
● Comedy is the most favourite genres during 1927-2016, with Forrest Gump is the funniest
movie in the world based on IMdB
● Movies’ business is decreasing in the last 5 years, between 2012-2016