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Tt10233364,tvEpisode,Rolling in the Deep Dish Rolling in the Deep Dish,0,2019,\N,\N,Reality-TV When we check out line 1,102,398 in title.basics, we see: If ctrl+g is not working you may need check the menu bar for "format" and turn off "word wrap". Try using ctrl + g to jump to the line in the error. In windows you can inspect using "open with" notepad or another text editor. It looks like the year is getting bumped into the "is adult" column. There may be a way with the python csv conversion script.įor the I get an error: invalid input syntax for type boolean at line 1102398. Ideally we should script out this fix or find a programmatic way to handle this or we will have to do this over and over again everytime. Sometimes as a data scientist you just need to manually fix the data. This is a bit difficult because the files are so large. This is where I don't have a good solution, but we can edit the files to fix the errors manually. Postgresql will try copying the data into your table until it hits an error.
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Here is the modified suggested python script for format conversion from the link above: We can add lineterminator='\n' to the arguments in csv.writer() to fix the problem.
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We need to modify the script in the link for windows or it inserts extra line breaks between every row.
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Here is a link how to convert the files to csv from tsv We can specify how to handle Nulls etc.There are non standard characters in the data set from foreign films etc.There is a header in the imdb tables, which can only be handled as a csv in postgresql.Postgresql seems to handle CSV's better than tab separated files, so we will convert from tab separated. The file may default to data.tsv, rename it back to to keep track of which table is which. Unzip the gz file with whatever you use for compressed files. You will need to do this separately for each file from imdb you want. This part gets a bit messy, which is a big part of data science. Time to copy the data from the downloaded files to tables in the imdb database in your SQL server. See below for how I did title.episode and title.ratings Copying the data to SQL
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You'll have to check the datatypes and initialize each of the imdb datasets you want to download and include in your sql database. You can check that this new title_basics table exists in your imdb database with: \dt
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IMDB dataįor now I use just these three files in order to get a list of the top episodes of a TV series across seasons: InstallingĪ step-by-step series of examples that tell you how to get a development env running.
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I'm assuming most people checking this out are already learning to code python with these tools. I'll recommend just installing Anaconda with python and jupyter together. You could also probably use another SQL relational database management system like MySQL or SQLite instead of PostgreSQL. Instead of Jupyter, you could probably use another ipython interpreter if it also allows you to call SQL queries with magic functions. If imdb changes the format of their data in the future or stops allowing access to it, this tutorial will become obsolete. Getting the imdb data cleanly formatted is a bit tough, but if you're interested in Data Science, dealing with messy, broken data is a big part of life.
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What things you need to install the software and how to install them I got this working on both my Mac and my PC. These instructions will get you a copy of the project up and running on your machine, assuming your machine is similar to mine. I use jupyter notebooks magic functions to perform SQL commands and queries.Īnother great way to learn is on Mode or asking around if a friend has a data base server for you to accesss and example SQL problems to work through. I decided to share what I had in case any one else wanted to query imdb data or practice or learn SQL with their own project. As I started to learn SQL it figured imdb data would provide a good set of data to practice on. Helpfully, imdb provides subsets of their data for personal use, however these are not in a format readily accessible for most users. has changed its sorting and search functionality over the last fews years making it a little more difficult to access certain information, for instance listing by top user-rated episodes across all seasons of a TV series. The goal of this project is to provide a tutorial and some resources for novice coders or data scientists to use SQL to explore imdb data. Explore imdb data with SQL (Windows guide)