TMDB 5000 Movie Dataset 数据集包含：tmdb_5000_movies.csv、tmdb_5000_credits.csv是Kaggle平台上的项目TMDB(TheMovieDatabase)，共计4803部电影，主要为美国地区一百年间（1916-2017）的电影 … The original data source comes from Kaggle. I want to analyse the given dataset to answer questions about the film industry like which movies have the highest average vote (IMDB rating), top highest grossing movie, movies with highest budget etc.The dataset has been scraped from Kaggle and manipulated according to the questions we want to answer in our analysis.After obtaining cleaned dats, we perform exploratory data analysis on our dataset. Q&A for Work. Learn more. Ritayan Dhara • updated 3 months ago (Version 2) We will create the function to facilitate the answer the questions before going into exploratory data analysis.This function is to find out the min and the max value of any given column. According Kaggle introduction page, the data contains information that are provided from The Movie Database (TMDb). 从电影市场趋势，受众喜好，电影票房等三个方面主要研究以下几个问题： This might be because we have scrapped the data from the net.Next step included removing duplicate data.
I use jsonlite library to extract the data.This creates comma seperated columns for âkeywordsâ, âgenreâ, âproduction_countriesâ, âproduction_companiesâ, âspoken_languagesâ.In this section, the data is analyzed using diverse set of packages, functions and graphical methods to explore the movies dataset. The Movies Dataset. Netflix Movies and TV Shows. Explore and run machine learning code with Kaggle Notebooks | Using data from multiple data sources Explore and run machine learning code with Kaggle Notebooks | Using data from multiple data sources ... TMDB_Movie dataset ... Notebook. Use To decide whether to drop them out or set them as null values, I count the number of the zero values in the two columns.It contains 6016 rows in zero values, so I also decide to keep these rows and replace zero values with null values.It’s just has a small number of zero value rows in runtime column, so I decide to drop them.Check out the dataset status after dropping null values so far. Dataset. description evaluation Timeline Prizes. ... Rules. Got it.
After engaging in a lot, I got pass for just one time and Udacity reviewer rated it as very great job, including questions digging and data wrangling. Dataset. TMDB Box Office Prediction Can you predict a movie's worldwide box office revenue? ... TMDB 5000 Movie Dataset. By using Kaggle, you agree to our use of cookies. 22. As the table shown below, we can see that the This is my first part for the project, for the next part I will post the Exploratory Data Analysis part and question finding results! By using Kaggle, you agree to our use of cookies. We use cookies on Kaggle to deliver our services, analyze web traffic, and improve your experience on the site.
Kaggle平台上下载2个原始数据集：tmdb_5000_movies.csv和tmdb_5000_credits.csv，前者存放电影的基本信息，后者存放电影的演职员名单.
This analysis includes simple representations like a bar chart to statistical distributed box plots to understand the data in depth.The vote of movie watchers is the determining factor to label a movie as a blockbuster or flop.Let us look at the top 20 movies with highest average_vote with color according to vote count.Here, movies with vote count > 500 are considered as movies with less vote counts and high rating can be a misleading statistic.Top 20 movies by popularity, color according to vote count :Every movie can be categorized under more than one genres.
Hence, through this article I want to record this project main ideas and the techniques I learned so far as my first analysis project milestone.We can see that these data are pretty neat, except that the From the table above, there are totally 10866 entries and total 21 columns. Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. It contains four parts:The movie dataset, which is originally from Kaggle, was cleaned and provided by Udacity. 提出问题. 2. The principal question which arises from the description of the challenge is to predict which films will be highly rated, whether or not they are a commercial success.
This movie also has the lowest profit. Each data format are reasonable, and there exists some null value in the Let’s see some descriptive statistics for the data set. Teams. Got it. This product uses the TMDb API but is not endorsed or certified by TMDb. 本项目数据来源于kaggle上的TMDB 5000 Movie Dataset数据集，共计4803条电影数据。本项目主要目的是通过对历史电影数据的分析研究，为电影的制作提供数据支持。.
See the part 2 8-According to TMDB dataset… 2282. Investigating Dataset contains information about 10k+ movies collected from TMDb This dataset was generated from the The Movie Database API.
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