├── .gitignore
├── Part_1_Basic_Toolkit
├── Ch.02_Language_learning_bridge
│ ├── Ch.02_A_Language_Learning_Bridge.ipynb
│ ├── index.mjs
│ └── lib
│ │ ├── libFoo.mjs
│ │ └── underscore.min.mjs
├── Ch.03_Reading_and_Writing_Data_with_Python.ipynb
├── Ch.04_Webdev101
│ ├── README.md
│ ├── index_flex.html
│ ├── index_flex_nested.html
│ ├── index_javascripted_svg.html
│ ├── index_placeholders.html
│ ├── index_svg.html
│ ├── index_svg_2.html
│ ├── script.js
│ └── style.css
└── data
│ ├── nobel_winners.csv
│ ├── nobel_winners.db
│ ├── nobel_winners.db-shm
│ ├── nobel_winners.db-wal
│ └── nobel_winners.json
├── Part_2_Getting_Your_Data
├── Ch.05 - Getting Data off the Web with Python.ipynb
├── Ch.06_Scrapy
│ ├── nobel_winners
│ │ ├── images
│ │ │ └── full
│ │ │ │ ├── 1b4d26fad5083b19bed30d737f2b770ac59a4ec2.jpg
│ │ │ │ ├── 3262c0c444deb3995e1388da14c9b4f22c82f0a2.jpg
│ │ │ │ ├── 3738bc56354df4f878a22ac5d325a373db9dfdc2.jpg
│ │ │ │ ├── 65ac9541c305ab4728ed889385d422a2321a117d.jpg
│ │ │ │ ├── 6ca7a53ff6e3c5b894a8d4b888a0380d2deb99e8.jpg
│ │ │ │ ├── 78f035bb66a1028ff1f45d6f9ef4cd672acc5970.jpg
│ │ │ │ ├── 7a6acc07a7fc429efbb8bd9470c67395a73a5619.jpg
│ │ │ │ ├── 8375529db7a23920775df07a088fe5e9ef470d19.jpg
│ │ │ │ ├── 90f95e38074a110dea891a02420273843d25e267.jpg
│ │ │ │ ├── 91e7f9fb6404dd5c9d76ed57534399d71e157950.jpg
│ │ │ │ ├── 976cea55c7b67dbceee0d4935c97fec5f7da2822.jpg
│ │ │ │ ├── 9ffc262be2701e8e520a3664283dc620178e01c0.jpg
│ │ │ │ ├── a5f763b828006e704cb291411b8b643bfb91886c.jpg
│ │ │ │ ├── b4d88a037d9c0f170526571118b81450d99a8c4b.jpg
│ │ │ │ ├── f9f6f9736e3164b5ea84efd778e5f82d91dd714f.jpg
│ │ │ │ └── fc9d3fb009b4c857d63b40c42ae4aaf313642640.jpg
│ │ ├── minibios.json
│ │ ├── nobel_winners.json
│ │ ├── nobel_winners
│ │ │ ├── __init__.py
│ │ │ ├── items.py
│ │ │ ├── middlewares.py
│ │ │ ├── pipelines.py
│ │ │ ├── settings.py
│ │ │ └── spiders
│ │ │ │ ├── __init__.py
│ │ │ │ ├── notes.md
│ │ │ │ ├── nwinners_full_spider.py
│ │ │ │ ├── nwinners_list_spider.py
│ │ │ │ └── nwinners_minibio_spider.py
│ │ └── scrapy.cfg
│ └── nobel_winners_test
│ │ ├── nobel_winners_test
│ │ ├── __init__.py
│ │ ├── items.py
│ │ ├── middlewares.py
│ │ ├── pipelines.py
│ │ ├── settings.py
│ │ └── spiders
│ │ │ └── __init__.py
│ │ └── scrapy.cfg
├── data
│ ├── google_credentials.json
│ └── world_country_data.json
└── nobel_pages.sqlite
├── Part_3_Cleaning_and_Exploring_with_Pandas
├── 11-13.png
├── 11-14.png
├── Ch07_Introduction_to_Numpy.ipynb
├── Ch08_Introduction_to_Pandas.ipynb
├── Ch09_Cleaning_Data_with_Pandas.ipynb
├── Ch10_Visualising_Data_with_Matplotlib.ipynb
├── Ch11_Exploring_Data_with_Pandas.ipynb
├── country_absolute_prize_numbers.png
├── country_relative_prize_numbers.png
├── data
│ ├── .~lock.nobel_winners.xlsx#
│ ├── nobel_winners.db
│ ├── nobel_winners.xlsx
│ ├── nobel_winners_all_sheets.xlsx
│ ├── nobel_winners_cleaned.db
│ ├── nobel_winners_cleaned.db-shm
│ ├── nobel_winners_cleaned.db-wal
│ ├── nobel_winners_cleaned.json
│ ├── nobel_winners_cleaned_test.db
│ ├── nobel_winners_cleaned_test.db-shm
│ ├── nobel_winners_cleaned_test.db-wal
│ ├── nobel_winners_dirty.json
│ ├── nobel_winners_sheet1.xlsx
│ ├── scrapy_nwinners_minibio.json
│ └── winning_country_data.json
├── dvpj_1103.png
├── dvpj_1104.png
├── dvpj_1110.png
└── mpl_3lines_custom.png
├── Part_4_Delivering_the_Data
├── Ch.12_Delivering_the_Data
│ ├── README.md
│ ├── data
│ │ ├── nobel_winners.db
│ │ ├── nobel_winners_cleaned.db
│ │ ├── nobel_winners_cleaned.db-shm
│ │ └── nobel_winners_cleaned.db-wal
│ ├── delivering_data_files
│ │ ├── data
│ │ │ ├── nobel_winners_cleaned.json
│ │ │ └── winners_by_country
│ │ │ │ ├── Argentina.json
│ │ │ │ ├── Australia.json
│ │ │ │ ├── Austria.json
│ │ │ │ ├── Azerbaijan.json
│ │ │ │ ├── Bangladesh.json
│ │ │ │ ├── Belgium.json
│ │ │ │ ├── Canada.json
│ │ │ │ ├── Chile.json
│ │ │ │ ├── China.json
│ │ │ │ ├── Colombia.json
│ │ │ │ ├── Costa Rica.json
│ │ │ │ ├── Cyprus.json
│ │ │ │ ├── Czech Republic.json
│ │ │ │ ├── Denmark.json
│ │ │ │ ├── East Timor.json
│ │ │ │ ├── Egypt.json
│ │ │ │ ├── Finland.json
│ │ │ │ ├── France.json
│ │ │ │ ├── Germany.json
│ │ │ │ ├── Ghana.json
│ │ │ │ ├── Greece.json
│ │ │ │ ├── Guatemala.json
│ │ │ │ ├── Hungary.json
│ │ │ │ ├── Iceland.json
│ │ │ │ ├── India.json
│ │ │ │ ├── Iran.json
│ │ │ │ ├── Ireland.json
│ │ │ │ ├── Israel.json
│ │ │ │ ├── Italy.json
│ │ │ │ ├── Japan.json
│ │ │ │ ├── Kenya.json
│ │ │ │ ├── Korea, South.json
│ │ │ │ ├── Liberia.json
│ │ │ │ ├── Mexico.json
│ │ │ │ ├── Myanmar (Burma).json
│ │ │ │ ├── Netherlands.json
│ │ │ │ ├── Nigeria.json
│ │ │ │ ├── Norway.json
│ │ │ │ ├── Pakistan.json
│ │ │ │ ├── Palestinian Territory.json
│ │ │ │ ├── Poland.json
│ │ │ │ ├── Portugal.json
│ │ │ │ ├── Russia.json
│ │ │ │ ├── Saint Lucia.json
│ │ │ │ ├── South Africa.json
│ │ │ │ ├── Spain.json
│ │ │ │ ├── Sweden.json
│ │ │ │ ├── Switzerland.json
│ │ │ │ ├── Taiwan.json
│ │ │ │ ├── Turkey.json
│ │ │ │ ├── United Kingdom.json
│ │ │ │ ├── United States.json
│ │ │ │ ├── Venezuela.json
│ │ │ │ ├── Vietnam.json
│ │ │ │ ├── Yemen.json
│ │ │ │ └── Yugoslavia.json
│ │ ├── index.html
│ │ ├── index_by_country.html
│ │ ├── lib
│ │ │ └── d3.v7.min.js
│ │ └── script.js
│ ├── server.py
│ ├── server_jinja.py
│ ├── server_sql.py
│ └── templates
│ │ ├── index.html
│ │ └── winner_list.html
└── Ch.13_Restful_API
│ ├── README.md
│ ├── api.py
│ ├── api_restful.py
│ ├── data
│ ├── nobel_winners.db
│ ├── nobel_winners_cleaned.db
│ ├── nobel_winners_cleaned_api.db
│ └── nobel_winners_cleaned_api_test.db
│ ├── heroku-python-starter
│ ├── .github
│ │ └── PULL_REQUEST_TEMPLATE.MD
│ ├── .gitignore
│ ├── Procfile
│ ├── Procfile.windows
│ ├── README.md
│ ├── app.json
│ ├── gettingstarted
│ │ ├── __init__.py
│ │ ├── settings.py
│ │ ├── static
│ │ │ └── humans.txt
│ │ ├── urls.py
│ │ └── wsgi.py
│ ├── hello
│ │ ├── __init__.py
│ │ ├── admin.py
│ │ ├── migrations
│ │ │ ├── 0001_initial.py
│ │ │ └── __init__.py
│ │ ├── models.py
│ │ ├── static
│ │ │ └── lang-logo.png
│ │ ├── templates
│ │ │ ├── base.html
│ │ │ ├── db.html
│ │ │ └── index.html
│ │ ├── tests.py
│ │ └── views.py
│ ├── manage.py
│ ├── requirements.txt
│ └── runtime.txt
│ ├── heroku
│ ├── Procfile
│ ├── api_rest.py
│ ├── data
│ │ ├── nobel_winners.db
│ │ ├── nobel_winners_cleaned.db
│ │ ├── nobel_winners_cleaned_api.db
│ │ └── nobel_winners_cleaned_api_test.db
│ └── requirements.txt
│ └── winners
├── Part_5_Visualizing_your_Data_with_Plotly_and_D3
├── Ch.14-Bringing_your_Charts_to_the_Web
│ ├── Ch.14-Bringing_your_Charts_to_the_Web.ipynb
│ ├── README.md
│ ├── data
│ │ └── nobel_winners_cleaned.json
│ ├── from-notebook-to-the-web
│ │ ├── index.html
│ │ ├── script.js
│ │ └── style.css
│ ├── native-js-plots-with-plotly-json
│ │ ├── data
│ │ │ └── nobel_winners.json
│ │ ├── index.html
│ │ ├── scripts
│ │ │ └── index.js
│ │ └── styles
│ │ │ └── index.css
│ ├── native-js-plots-with-plotly
│ │ ├── index.html
│ │ ├── script.js
│ │ └── style.css
│ ├── static-charts-with-matplotlib
│ │ ├── images
│ │ │ ├── country_absolute_prize_numbers.png
│ │ │ └── country_relative_prize_numbers.png
│ │ └── index_nobel_static.html
│ └── user-driven-plotly-with-js-and-html
│ │ ├── data
│ │ └── nobel_winners.json
│ │ ├── index.html
│ │ ├── scripts
│ │ └── index.js
│ │ └── styles
│ │ └── index.css
├── Ch.15-21_Nobel_Dataviz_with_D3
│ ├── README.md
│ ├── index.html
│ └── static
│ │ ├── css
│ │ └── style.css
│ │ ├── data
│ │ ├── api
│ │ │ ├── _winners
│ │ │ └── winners
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│ │ │ │ ├── 56e7403f26a71108192d8beb
│ │ │ │ ├── 56e7403f26a71108192d8bec
│ │ │ │ ├── 56e7403f26a71108192d8bed
│ │ │ │ ├── 56e7403f26a71108192d8bee
│ │ │ │ ├── 56e7403f26a71108192d8bef
│ │ │ │ ├── 56e7403f26a71108192d8bf0
│ │ │ │ ├── 56e7403f26a71108192d8bf1
│ │ │ │ ├── 56e7403f26a71108192d8bf2
│ │ │ │ ├── 56e7403f26a71108192d8bf3
│ │ │ │ └── 56e7403f26a71108192d8bf4
│ │ ├── nobel_winners_biopic.json
│ │ ├── winning_country_data.json
│ │ ├── world-110m.json
│ │ └── world-country-names-nobel.csv
│ │ ├── images
│ │ └── winners
│ │ │ └── full
│ │ │ ├── 002b4f05aa3758e2d6acadde4ed80aa991ed6357.jpg
│ │ │ ├── 00d7ed381db8b5d18edc84694b7f9ce14ee57c5b.jpg
│ │ │ ├── 01912f6dff5addd783a294d0cff5c999b418c7e4.jpg
│ │ │ ├── 019bac396a24f1e3805dc1c3309b100c6a785045.jpg
│ │ │ ├── 02862f745cc22c96aa50d3877704debd272a64ab.jpg
│ │ │ ├── 02e3283d68d8972764c058431cf6c49f703d5d38.jpg
│ │ │ ├── 031f3f88275e0695c7ffb255d941b506b918a241.jpg
│ │ │ ├── 035ecd0267cec5aca42da1d341755d55c6baa69b.jpg
│ │ │ ├── 036b505e495a214ce184b726124619f44a5bb7d1.jpg
│ │ │ ├── 0383afa288831d4c47a28b5d4fc2d76885c4a47c.jpg
│ │ │ ├── 038b9fe08ab9c3d1cdaf588d2566a4e9d02a163b.jpg
│ │ │ ├── 03f25bc44dfcfb0e6c9ea1fa66a20d8155fd16bc.jpg
│ │ │ ├── 042b05f4d87031347e3f5857e86b3d70c2ac692b.jpg
│ │ │ ├── 042c34447a49f8c609b76e4f8e721542db843f22.jpg
│ │ │ ├── 04d66d7af5ddcce08914f825c3374ac88055bd1a.jpg
│ │ │ ├── 04f2c796a3bd28a7b2fbc3ac971c36ff01598200.jpg
│ │ │ ├── 0512ae11141584da1262661992a1b05dfb20dd52.jpg
│ │ │ ├── 055250cd00ee525b00d238728498228cf3beb6ae.jpg
│ │ │ ├── 05dcf698d5f4eb90cb93f01ce7631414fa008109.jpg
│ │ │ ├── 061f888a5b2f57de9424400bd946a2d7229e2dc0.jpg
│ │ │ ├── 062165e50a7bdf2791b1325019af1ad1d6f50bb4.jpg
│ │ │ ├── 06893516cb7835f97584e2d95f6861259846325a.jpg
│ │ │ ├── 06ed682e14aa6440a2dbaeb44e726ef2b7de945c.jpg
│ │ │ ├── 0714ae8dcc1a89e340d3eaf7f4def7f5db54f670.jpg
│ │ │ ├── 0723fc4ba9d4711da440ae00e523fff6bcdc2895.jpg
│ │ │ ├── 07dac13cd42a3ca0d0c85fd00d94903785052119.jpg
│ │ │ ├── 083fade4a211b67e78b304ab95004a9df1c6d9e2.jpg
│ │ │ ├── 0868d43da471147e807774ac7655c5a2579fc822.jpg
│ │ │ ├── 08ccd022e41ff3c1461e9fc72ef72d5eaeec6917.jpg
│ │ │ ├── 08d99600edac98955e8c1b703126d500858bdafc.jpg
│ │ │ ├── 08f92b6acb68006ed191fc8b097a73adda978f77.jpg
│ │ │ ├── 092a92689118c16b15b1613751af422439df2850.jpg
│ │ │ ├── 09674b643b57ed00b065e8575b3f75e54e165ecc.jpg
│ │ │ ├── 09bb1031d678930d8344a58d4cd89194f6da3431.jpg
│ │ │ ├── 09bf57b7117a6f4d5dc2ae74bca92ce7f7db481d.jpg
│ │ │ ├── 0a3f0e85cc425d4ca366714c99f03b0a37ae6b97.jpg
│ │ │ ├── 0aa86d46be936cc0db758eb38270db56ebaa8d5d.jpg
│ │ │ ├── 0aedaa51a23611440752ac16b885b9d33fe900e8.jpg
│ │ │ ├── 0b6a8ca56e6ff115b7d30087df9c21da09684db1.jpg
│ │ │ ├── 0b8a9c2ee861dc4c10d1cce18ca74dd88852226f.jpg
│ │ │ ├── 0cc1b9210e5b3fd698bd597cd5a25f4698992486.jpg
│ │ │ ├── 0e295d8ea06ae4c8b0f943e584a7b7342df43160.jpg
│ │ │ ├── 0e50ad214378b0734c8f44f2be62af9372455fb4.jpg
│ │ │ ├── 0e521a9bcca2f2f313a36e8195c5f22dbfd9a912.jpg
│ │ │ ├── 0e6aaf3ca89fd3a5261e6abd353a30e8b6a253f6.jpg
│ │ │ ├── 10191526d8d3d5183017fd0416c16911eebcfde3.jpg
│ │ │ ├── 104fb78d9cd0823e6fce93fc2c0d32b58c9e8391.jpg
│ │ │ ├── 1072e212ed4b8ad1d31c2a8dda2a534abb0636aa.jpg
│ │ │ ├── 10ccb5bbd772a6b505e8694a4fbdaab512d92ad2.jpg
│ │ │ ├── 110b0bd48be62ad72cd8a7eea9bb8ec2d6ff6252.jpg
│ │ │ ├── 1169e1f86ae2fbdefe3af2ab427acd2d93738616.jpg
│ │ │ ├── 1197aa95299a1fec983b3dbdeaeb97a1f7e545c9.jpg
│ │ │ ├── 11b935a72c54013622a7bc9fe8f6856eb820b8c4.jpg
│ │ │ ├── 1206ab279dc9e4a574381ff9b5e8345c0de3b23d.jpg
│ │ │ ├── 1229c72be20189d434f2e390ac233fcbbf94cf2a.jpg
│ │ │ ├── 12dc0c27eca68ed1c9a2caeee379c65610c2bfce.jpg
│ │ │ ├── 135b8290342bed1c1ce6dd55b18abe81cd6c3796.jpg
│ │ │ ├── 139718249cc3337bebad2a10fe5d91f279b41f23.jpg
│ │ │ ├── 14336dc74f0b9e25a1b01a803f2e270d0d86994d.jpg
│ │ │ ├── 153f0a0d1af8ccb21e4852573fa4a5dc242a60bd.jpg
│ │ │ ├── 155264c9fbf004b8424e697520af8a82da19a8da.jpg
│ │ │ ├── 157ea67b1ef26e610cc3dbccbc88587866e74841.jpg
│ │ │ ├── 15d197cc23eebd9589ccdcef56f65106c8d59948.jpg
│ │ │ ├── 16468986205b0d749f6d322839505c90731a9c6e.jpg
│ │ │ ├── 17515323cc8966ba96464cc91700d049d883a87d.jpg
│ │ │ ├── 17537cbb50b93bed268babfe6cbd0b8eae366cbb.jpg
│ │ │ ├── 1819dbcac7955c2aeddd5cee5fc30f72903cbb93.jpg
│ │ │ ├── 183f04c2849122a2be85bbd337d1f60ff80fc17f.jpg
│ │ │ ├── 186680744ed93de1f1dd08db807ddf14e5ec55c5.jpg
│ │ │ ├── 18a3b8b5c935a0cd96e0cedcf4ef28207877f1a3.jpg
│ │ │ ├── 1966ceb8ee244815ca721e071b7a317c640e9556.jpg
│ │ │ ├── 198857144bcf21eba04e4ea619ce9cb746ac9bd7.jpg
│ │ │ ├── 19a2d653d30271b1f3a8be406ac72bda8db43f56.jpg
│ │ │ ├── 19aff4f674bd7a80a50cdd62b73b577c4beacef1.jpg
│ │ │ ├── 19bc6fb091d8bd6e2654a5f6a4c3104342f8d021.jpg
│ │ │ ├── 1c7f3398958930caf203d41fc28cb3c887797d2b.jpg
│ │ │ ├── 1ca55b97ed7ced39d34b94b19653f40209ac021a.jpg
│ │ │ ├── 1ccd5d2061d3c23318139178bdc7474b14378b2d.jpg
│ │ │ ├── 1dd02f9b1ccd224e4b954c4ae0b2386bd2a6d6c4.jpg
│ │ │ ├── 1dd3927a5099c5d33d9f0a0017dfa2b0d7d66f28.jpg
│ │ │ ├── 1e2c515e1b85bd0c8e0b6ea7cdefb80e9dc0d1de.jpg
│ │ │ ├── 1e48a74f3f129c637f9d60088ca9bf60d403eea6.jpg
│ │ │ ├── 1ea717819ef1d6d9313745c4d9b295bd5ee2f883.jpg
│ │ │ ├── 1eb2b2250014ea91cfd2925ca9b462f7d341f33e.jpg
│ │ │ ├── 1f06b487d1b2fc62d8dea8de01f0ea4258b6950b.jpg
│ │ │ ├── 1f24e35146d664f718fe76792bfe7b4093534dcb.jpg
│ │ │ ├── 1f2a47d9c5a84e6cbc7efbe42c3d9779e28cd893.jpg
│ │ │ ├── 1f395ccb1a0d8c05b750cc9bb5ee54d4933f0923.jpg
│ │ │ ├── 1f39b721d8d3841a10a82a3009e472ccffdd8d14.jpg
│ │ │ ├── 1f6a080f50c6106523b53f5cac104cf478da20df.jpg
│ │ │ ├── 1f6fb8e9e2241733da47328291b25bd1a78fa588.jpg
│ │ │ ├── 1fa4057a70b64362414babe304c53fff1ca8a762.jpg
│ │ │ ├── 203715a3d006e70c74ac25bd2d3c0b1c533c7aa3.jpg
│ │ │ ├── 207acbac916b65c513bcafb05a569682ac0eca3d.jpg
│ │ │ ├── 20bd6294c07ec55ba4c400117e22d520319ae3ef.jpg
│ │ │ ├── 2129d0a8bcbabe9cf5127fc4a1a30465365e186f.jpg
│ │ │ ├── 21653c806674a25ea409e9afb90eb76547fc9c86.jpg
│ │ │ ├── 2166d44bf93afba115529f354ebb16afe266c459.jpg
│ │ │ ├── 225826439c3b37afb0830e7c88f64c213d2c452f.jpg
│ │ │ ├── 226c6cf3d52250ea95d2c9e054e2c564f4738c95.jpg
│ │ │ ├── 24706a408a862f01b6faa274514051682090ec2a.jpg
│ │ │ ├── 24e240712980f24866d021b2fbc4a1edfeed97cd.jpg
│ │ │ ├── 25623395755f7398e7e9611e8ed857b7f5b3d472.jpg
│ │ │ ├── 25b75c2f09d063e5a6ae20ba21046d8379e0ce79.jpg
│ │ │ ├── 25c3caa105ee6f9eb85ed388ce27c138c1fbe423.jpg
│ │ │ ├── 2678d2cb2a7733d5139a9c03bc1d2e8734ab2414.jpg
│ │ │ ├── 2686f240eab1fce85d1f3aa7c3da5b23d8f0f121.jpg
│ │ │ ├── 269f4a8d7e7ca16a9098645ce571a87422bec73f.jpg
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│ │ │ └── ff07685164e8d921fc97d8588798bbb4b766fc02.jpg
│ │ ├── js
│ │ ├── nbviz_bar.mjs
│ │ ├── nbviz_core.mjs
│ │ ├── nbviz_details.mjs
│ │ ├── nbviz_main.mjs
│ │ ├── nbviz_map.mjs
│ │ ├── nbviz_menu.mjs
│ │ └── nbviz_time.mjs
│ │ └── libs
│ │ ├── crossfilter.min.js
│ │ ├── d3-fetch.min.js
│ │ ├── d3.min.js
│ │ └── topojson.min.js
├── Nobel_dataviz.png
└── README.md
├── README.md
├── data
├── .~lock.nobel_winners.xlsx#
├── _.oecd.org
├── google_credentials.json
├── nobel_prize (copy).db
├── nobel_prize.db
├── nobel_winners.csv
├── nobel_winners.db
├── nobel_winners.db-shm
├── nobel_winners.db-wal
├── nobel_winners.json
├── nobel_winners.xlsx
├── nobel_winners_all_sheets.xlsx
├── nobel_winners_asdf.db
├── nobel_winners_baa.db
├── nobel_winners_biopic.json
├── nobel_winners_ch03.db
├── nobel_winners_ch03b.db
├── nobel_winners_ch03bc.db
├── nobel_winners_cleaned.db
├── nobel_winners_cleaned.json
├── nobel_winners_cleaned_asdf.db
├── nobel_winners_cleaned_test.db
├── nobel_winners_cleaned_test.db-shm
├── nobel_winners_cleaned_test.db-wal
├── nobel_winners_cleaned_test19.db
├── nobel_winners_cleaned_test192.db
├── nobel_winners_dirty.json
├── nobel_winners_foo.db
├── nobel_winners_food.db
├── nobel_winners_plus_bornin.json
├── nobel_winners_sheet1.xlsx
├── oecd_cert_file.cert
├── scrapy_nwinners_minibio.json
├── v2
│ ├── nobel_winners_clean_wbi.json
│ ├── nobel_winners_cleaned.json
│ └── nobel_winners_cleaned_wbi.json
├── winning_country_data.json
└── world_country_data.json
└── requirements.txt
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