This project seeks to analyze, draw insights, and share findings from a dataset "TMDB Movies dataset" using various data analysis methods ranging from Descriptive to Exploratory Data Analysis (EDA). This project is carried out using various techniques like data wrangling (gathering, assessing and cleaning), data visualization, and explanatory data analysis.

As a result of the analysis carried out, here some of the key findings and conclusions considered includes:

• Highest grossing movies of all time includes Avatar, Star Wars, Jurassic World, Titanic, The Net etc.
• The most profitable year in the movies industry was 2015.
• The most popular genres are Drama, Comedy, Thriller and Action. For investment purposes, this are genres that needs be given considered.
• A well planned budget should be considered when investing in the movies industry.

The dataset used to carry out our analysis is the TMDB Movies Dataset. This dataset contains information about the movie industry ranging from 1966 to 2015. The dataset is made up of 12 columns and 10866 rows. It fields include id, imdb_id, popularity, budget etc. Moreover, certain features like

• 'cast', 'genres' and 'production_companies' contains multiple values which are seperated by pipes
• values entered in the TMDB dataset are made up of unrecognisable characters that aren't english and as a matter of fact cannot be read and understood
• the dataset is not up-to-date as it begins and ends from 1966 to 2015
• the dataset contains huge amount of 0's.

The problems tackled in this project explores the data further giving us insights inot the trends, characteristics and features that hidden the data to help us make more informed data driven decisions. These problems includes:

• What are the Top 10 highest grossing movies of all-time?
• What is the movies industry's most profitable year in the most recent decade?
• What is the relationship between overall annual Profit and Budget in the movies industry for the most recent decade?
• What is the relationship between overall annual Profit and Revenue in the movies industry for the most recent decade?
• What are the most popular genres throughout the years?

The project covers each step of the data analysis process in a chronological order from data gathering, data assessment and cleaning, data exploration, data visualization to sharing findings to perform thorough analysis on the data in question.

The data used in this project is one of three projects carried out during Udacity Data Analyst Nanodegree Program. The data is provided by Udacity for the sole purpose of building projects utilizing the data analysis process.

The main methods utilized to carry out analysis involves:

• Descriptive Data Analysis
• Exploratory Data Analysis (EDA)

Here are some of the results generated from the analysis made:

Utilizing a bar chart, we are able to visualize the 10 highest grossing movies of all-time according to the data we're working on.

This visual shows the relationship between total movies budget and the profit made on the year basis. It turns out the movies industry for the past decade made more than twice the amount they budgeted for, and this trend continued consistently on an annual basis.

This visual depicts the most popular movie genres of the years. It could be seen that the three most popular genres by each decade include;

• 1960's: Drama, Adventure and Action
• 1970's: Drama, Thriller and Action
• 1980's: Comedy, Drama and Action
• 1990's: Drama, Comedy and Thriller
• 2000's: Drama, Comedy and Thriller
• 2010's: Drama, Comedy and Thriller

• Certain values entered in this dataset are made up of unrecognisable characters that aren't english and as a matter of fact cannot be read and understood.
• The dataset is not up-to-date as it begins and ends from 1960 to 2015.
• There's no vivid description of each column in the dataset making some columns quite redundant.
• The dataset contains huge amount of 0's.

Summary of findings and recommendations includes:

1. The highest grossing movies of all time are Avatar, Star Wars, Jurassic World, Titanic, The Net etc.
2. The most profitable year in the movies industry was 2015.
3. The most popular genres are Drama, Comedy, Thriller and Action. For investment purposes, this are genres that needs be given considered.
4. A well planned budget should be considered when investing in the movies industry.