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Spotify Spotify Data Analysis using Python python

I'm sharing an Exploratory Data Analysis (EDA) and Data Visualization of the data from Spotify using Python - A Data Analysis Project performed in my journey into Data Science.

About the Project

Spotify is a Swedish audio streaming and media services provider founded in April 2006. It is the world's largest music streaming service provider and has over 381 million monthly active users, which also includes 172 million paid subscribers.

Spotify

  • Here, l have explored and quantified data about music and drawn valuable insights.

  • Conducted data cleaning to perform exploratory data analysis (EDA) and data visualization of the Spotify dataset using Python (Pandas, NumPy, Matplotlib and Seaborn).

  • Data analysis - Exploring the relationship between the audio features of a song and how positive or negative its lyrics are, involving sentiment analysisand manyuy more.

  • Spotify Data Analysis makes use of secondary data from Spotify. Use data to identify patterns and relationships between different characteristics. The activity will support in developing ability to review and interpret a dataset.

Prerequisite:Data Analyst Roadmap ⌛ , Python Lessons 📑 & Python Libraries for Data Science 🗂️

Technologies used ⚙️

Python Libraries :

Certifications 📜 🎓 ✔️

Project - Spotify Data Analysis using Python

Kaggle Project: Spotify Data AnalysisSpotify 🔗

Kaggle Spotify Datasets:Spotify Tracks & Spotify Features

Objective

  1. Top 10 most popular songs on Spotify

  2. Top 10 least popular songs on Spotify

  3. Correlation Heatmap between Variable

Spotify Data Analysis using Python

  1. Regression plot - Correlation between Loudness and Energy

Spotify Data Analysis using Python

  1. Regression plot - Correlation between Popularity and Acousticness

Spotify Data Analysis using Python

  1. Distibution plot - Visualize total number of songs on Spotify since 1992

Spotify Data Analysis using Python

  1. Change in Duration of songs wrt Years

Spotify Data Analysis using Python

  1. Duration of songs in different Genres

  1. Top 5 Genres by Popularity

Related Projects:question: 👨‍💻 🛰️

Data Analyst Roadmap ⌛

Sales Insights - Data Analysis using Tableau & SQL 📊

Statistics for Data Science using Python 📊

Kaggle - Pandas Solved Exercises 📊

Python Lessons 📑

Python Libraries for Data Science 🗂️

Liked my Contributions:question: Follow Me👉 Kaggle and GitHub

👉 Nominate Me for GitHub Stars ⭐ ✨

For any queries/doubts 🔗 👇

Ankit Gupta

MrAnkitGupta_

MrAnkitGuptaMrAnkitGupta_AnkitGuptaMrAnkitGuptamrankitguptaaggle

About

An exploratory data analysis (EDA) and data visualization project using data from Spotify using Python.

Resources

Readme
MIT license
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53 stars

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2 watching

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6 forks
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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all \u003cpre\u003e\u003ccode\u003e blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks"); } } catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); } })(); (function(){ try { var __m = "github.com"; var __re = new RegExp('^' + "github\\.com" + '
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Spotify Data Analysis using Python Project.ipynb
Spotify Data Analysis using Python Project.ipynb

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Spotify Spotify Data Analysis using Python python

I'm sharing an Exploratory Data Analysis (EDA) and Data Visualization of the data from Spotify using Python - A Data Analysis Project performed in my journey into Data Science.

About the Project

Spotify is a Swedish audio streaming and media services provider founded in April 2006. It is the world's largest music streaming service provider and has over 381 million monthly active users, which also includes 172 million paid subscribers.

Spotify

  • Here, l have explored and quantified data about music and drawn valuable insights.

  • Conducted data cleaning to perform exploratory data analysis (EDA) and data visualization of the Spotify dataset using Python (Pandas, NumPy, Matplotlib and Seaborn).

  • Data analysis - Exploring the relationship between the audio features of a song and how positive or negative its lyrics are, involving sentiment analysisand manyuy more.

  • Spotify Data Analysis makes use of secondary data from Spotify. Use data to identify patterns and relationships between different characteristics. The activity will support in developing ability to review and interpret a dataset.

Prerequisite:Data Analyst Roadmap ⌛ , Python Lessons 📑 & Python Libraries for Data Science 🗂️

Technologies used ⚙️

Python Libraries :

Certifications 📜 🎓 ✔️

Project - Spotify Data Analysis using Python

Kaggle Project: Spotify Data AnalysisSpotify 🔗

Kaggle Spotify Datasets:Spotify Tracks & Spotify Features

Objective

  1. Top 10 most popular songs on Spotify

  2. Top 10 least popular songs on Spotify

  3. Correlation Heatmap between Variable

Spotify Data Analysis using Python

  1. Regression plot - Correlation between Loudness and Energy

Spotify Data Analysis using Python

  1. Regression plot - Correlation between Popularity and Acousticness

Spotify Data Analysis using Python

  1. Distibution plot - Visualize total number of songs on Spotify since 1992

Spotify Data Analysis using Python

  1. Change in Duration of songs wrt Years

Spotify Data Analysis using Python

  1. Duration of songs in different Genres

  1. Top 5 Genres by Popularity

Related Projects:question: 👨‍💻 🛰️

Data Analyst Roadmap ⌛

Sales Insights - Data Analysis using Tableau & SQL 📊

Statistics for Data Science using Python 📊

Kaggle - Pandas Solved Exercises 📊

Python Lessons 📑

Python Libraries for Data Science 🗂️

Liked my Contributions:question: Follow Me👉 Kaggle and GitHub

👉 Nominate Me for GitHub Stars ⭐ ✨

For any queries/doubts 🔗 👇

Ankit Gupta

MrAnkitGupta_

MrAnkitGuptaMrAnkitGupta_AnkitGuptaMrAnkitGuptamrankitguptaaggle

About

An exploratory data analysis (EDA) and data visualization project using data from Spotify using Python.

Resources

Readme
MIT license
Activity

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53 stars

Watchers

2 watching

Forks

6 forks
Report repository

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Spotify Spotify Data Analysis using Python python

I'm sharing an Exploratory Data Analysis (EDA) and Data Visualization of the data from Spotify using Python - A Data Analysis Project performed in my journey into Data Science.

About the Project

Spotify is a Swedish audio streaming and media services provider founded in April 2006. It is the world's largest music streaming service provider and has over 381 million monthly active users, which also includes 172 million paid subscribers.

Spotify

  • Here, l have explored and quantified data about music and drawn valuable insights.

  • Conducted data cleaning to perform exploratory data analysis (EDA) and data visualization of the Spotify dataset using Python (Pandas, NumPy, Matplotlib and Seaborn).

  • Data analysis - Exploring the relationship between the audio features of a song and how positive or negative its lyrics are, involving sentiment analysisand manyuy more.

  • Spotify Data Analysis makes use of secondary data from Spotify. Use data to identify patterns and relationships between different characteristics. The activity will support in developing ability to review and interpret a dataset.

Prerequisite:Data Analyst Roadmap ⌛ , Python Lessons 📑 & Python Libraries for Data Science 🗂️

Technologies used ⚙️

Python Libraries :

Certifications 📜 🎓 ✔️

Project - Spotify Data Analysis using Python

Kaggle Project: Spotify Data AnalysisSpotify 🔗

Kaggle Spotify Datasets:Spotify Tracks & Spotify Features

Objective

  1. Top 10 most popular songs on Spotify

  2. Top 10 least popular songs on Spotify

  3. Correlation Heatmap between Variable

Spotify Data Analysis using Python

  1. Regression plot - Correlation between Loudness and Energy

Spotify Data Analysis using Python

  1. Regression plot - Correlation between Popularity and Acousticness

Spotify Data Analysis using Python

  1. Distibution plot - Visualize total number of songs on Spotify since 1992

Spotify Data Analysis using Python

  1. Change in Duration of songs wrt Years

Spotify Data Analysis using Python

  1. Duration of songs in different Genres

  1. Top 5 Genres by Popularity

Related Projects:question: 👨‍💻 🛰️

Data Analyst Roadmap ⌛

Sales Insights - Data Analysis using Tableau & SQL 📊

Statistics for Data Science using Python 📊

Kaggle - Pandas Solved Exercises 📊

Python Lessons 📑

Python Libraries for Data Science 🗂️

Liked my Contributions:question: Follow Me👉 Kaggle and GitHub

👉 Nominate Me for GitHub Stars ⭐ ✨

For any queries/doubts 🔗 👇

Ankit Gupta

MrAnkitGupta_

MrAnkitGuptaMrAnkitGupta_AnkitGuptaMrAnkitGuptamrankitguptaaggle

About

An exploratory data analysis (EDA) and data visualization project using data from Spotify using Python.

Resources

Readme
MIT license
Activity

Stars

53 stars

Watchers

2 watching

Forks

6 forks
Report repository

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length \u003e 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Spotify Data Analysis using Python Project.ipynb
Spotify Data Analysis using Python Project.ipynb

Repository files navigation

Spotify Spotify Data Analysis using Python python

I'm sharing an Exploratory Data Analysis (EDA) and Data Visualization of the data from Spotify using Python - A Data Analysis Project performed in my journey into Data Science.

About the Project

Spotify is a Swedish audio streaming and media services provider founded in April 2006. It is the world's largest music streaming service provider and has over 381 million monthly active users, which also includes 172 million paid subscribers.

Spotify

  • Here, l have explored and quantified data about music and drawn valuable insights.

  • Conducted data cleaning to perform exploratory data analysis (EDA) and data visualization of the Spotify dataset using Python (Pandas, NumPy, Matplotlib and Seaborn).

  • Data analysis - Exploring the relationship between the audio features of a song and how positive or negative its lyrics are, involving sentiment analysisand manyuy more.

  • Spotify Data Analysis makes use of secondary data from Spotify. Use data to identify patterns and relationships between different characteristics. The activity will support in developing ability to review and interpret a dataset.

Prerequisite:Data Analyst Roadmap ⌛ , Python Lessons 📑 & Python Libraries for Data Science 🗂️

Technologies used ⚙️

Python Libraries :

Certifications 📜 🎓 ✔️

Project - Spotify Data Analysis using Python

Kaggle Project: Spotify Data AnalysisSpotify 🔗

Kaggle Spotify Datasets:Spotify Tracks & Spotify Features

Objective

  1. Top 10 most popular songs on Spotify

  2. Top 10 least popular songs on Spotify

  3. Correlation Heatmap between Variable

Spotify Data Analysis using Python

  1. Regression plot - Correlation between Loudness and Energy

Spotify Data Analysis using Python

  1. Regression plot - Correlation between Popularity and Acousticness

Spotify Data Analysis using Python

  1. Distibution plot - Visualize total number of songs on Spotify since 1992

Spotify Data Analysis using Python

  1. Change in Duration of songs wrt Years

Spotify Data Analysis using Python

  1. Duration of songs in different Genres

  1. Top 5 Genres by Popularity

Related Projects:question: 👨‍💻 🛰️

Data Analyst Roadmap ⌛

Sales Insights - Data Analysis using Tableau & SQL 📊

Statistics for Data Science using Python 📊

Kaggle - Pandas Solved Exercises 📊

Python Lessons 📑

Python Libraries for Data Science 🗂️

Liked my Contributions:question: Follow Me👉 Kaggle and GitHub

👉 Nominate Me for GitHub Stars ⭐ ✨

For any queries/doubts 🔗 👇

Ankit Gupta

MrAnkitGupta_

MrAnkitGuptaMrAnkitGupta_AnkitGuptaMrAnkitGuptamrankitguptaaggle

About

An exploratory data analysis (EDA) and data visualization project using data from Spotify using Python.

Resources

Readme
MIT license
Activity

Stars

53 stars

Watchers

2 watching

Forks

6 forks
Report repository

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Packages

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Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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Spotify Data Analysis using Python Project.ipynb
Spotify Data Analysis using Python Project.ipynb

Repository files navigation

Spotify Spotify Data Analysis using Python python

I'm sharing an Exploratory Data Analysis (EDA) and Data Visualization of the data from Spotify using Python - A Data Analysis Project performed in my journey into Data Science.

About the Project

Spotify is a Swedish audio streaming and media services provider founded in April 2006. It is the world's largest music streaming service provider and has over 381 million monthly active users, which also includes 172 million paid subscribers.

Spotify

  • Here, l have explored and quantified data about music and drawn valuable insights.

  • Conducted data cleaning to perform exploratory data analysis (EDA) and data visualization of the Spotify dataset using Python (Pandas, NumPy, Matplotlib and Seaborn).

  • Data analysis - Exploring the relationship between the audio features of a song and how positive or negative its lyrics are, involving sentiment analysisand manyuy more.

  • Spotify Data Analysis makes use of secondary data from Spotify. Use data to identify patterns and relationships between different characteristics. The activity will support in developing ability to review and interpret a dataset.

Prerequisite:Data Analyst Roadmap ⌛ , Python Lessons 📑 & Python Libraries for Data Science 🗂️

Technologies used ⚙️

Python Libraries :

Certifications 📜 🎓 ✔️

Project - Spotify Data Analysis using Python

Kaggle Project: Spotify Data AnalysisSpotify 🔗

Kaggle Spotify Datasets:Spotify Tracks & Spotify Features

Objective

  1. Top 10 most popular songs on Spotify

  2. Top 10 least popular songs on Spotify

  3. Correlation Heatmap between Variable

Spotify Data Analysis using Python

  1. Regression plot - Correlation between Loudness and Energy

Spotify Data Analysis using Python

  1. Regression plot - Correlation between Popularity and Acousticness

Spotify Data Analysis using Python

  1. Distibution plot - Visualize total number of songs on Spotify since 1992

Spotify Data Analysis using Python

  1. Change in Duration of songs wrt Years

Spotify Data Analysis using Python

  1. Duration of songs in different Genres

  1. Top 5 Genres by Popularity

Related Projects:question: 👨‍💻 🛰️

Data Analyst Roadmap ⌛

Sales Insights - Data Analysis using Tableau & SQL 📊

Statistics for Data Science using Python 📊

Kaggle - Pandas Solved Exercises 📊

Python Lessons 📑

Python Libraries for Data Science 🗂️

Liked my Contributions:question: Follow Me👉 Kaggle and GitHub

👉 Nominate Me for GitHub Stars ⭐ ✨

For any queries/doubts 🔗 👇

Ankit Gupta

MrAnkitGupta_

MrAnkitGuptaMrAnkitGupta_AnkitGuptaMrAnkitGuptamrankitguptaaggle

About

An exploratory data analysis (EDA) and data visualization project using data from Spotify using Python.

Resources

Readme
MIT license
Activity

Stars

53 stars

Watchers

2 watching

Forks

6 forks
Report repository

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Spotify Data Analysis using Python Project.ipynb

Repository files navigation

Spotify Spotify Data Analysis using Python python

I'm sharing an Exploratory Data Analysis (EDA) and Data Visualization of the data from Spotify using Python - A Data Analysis Project performed in my journey into Data Science.

About the Project

Spotify is a Swedish audio streaming and media services provider founded in April 2006. It is the world's largest music streaming service provider and has over 381 million monthly active users, which also includes 172 million paid subscribers.

Spotify

  • Here, l have explored and quantified data about music and drawn valuable insights.

  • Conducted data cleaning to perform exploratory data analysis (EDA) and data visualization of the Spotify dataset using Python (Pandas, NumPy, Matplotlib and Seaborn).

  • Data analysis - Exploring the relationship between the audio features of a song and how positive or negative its lyrics are, involving sentiment analysisand manyuy more.

  • Spotify Data Analysis makes use of secondary data from Spotify. Use data to identify patterns and relationships between different characteristics. The activity will support in developing ability to review and interpret a dataset.

Prerequisite:Data Analyst Roadmap ⌛ , Python Lessons 📑 & Python Libraries for Data Science 🗂️

Technologies used ⚙️

Python Libraries :

Certifications 📜 🎓 ✔️

Project - Spotify Data Analysis using Python

Kaggle Project: Spotify Data AnalysisSpotify 🔗

Kaggle Spotify Datasets:Spotify Tracks & Spotify Features

Objective

  1. Top 10 most popular songs on Spotify

  2. Top 10 least popular songs on Spotify

  3. Correlation Heatmap between Variable

Spotify Data Analysis using Python

  1. Regression plot - Correlation between Loudness and Energy

Spotify Data Analysis using Python

  1. Regression plot - Correlation between Popularity and Acousticness

Spotify Data Analysis using Python

  1. Distibution plot - Visualize total number of songs on Spotify since 1992

Spotify Data Analysis using Python

  1. Change in Duration of songs wrt Years

Spotify Data Analysis using Python

  1. Duration of songs in different Genres

  1. Top 5 Genres by Popularity

Related Projects:question: 👨‍💻 🛰️

Data Analyst Roadmap ⌛

Sales Insights - Data Analysis using Tableau & SQL 📊

Statistics for Data Science using Python 📊

Kaggle - Pandas Solved Exercises 📊

Python Lessons 📑

Python Libraries for Data Science 🗂️

Liked my Contributions:question: Follow Me👉 Kaggle and GitHub

👉 Nominate Me for GitHub Stars ⭐ ✨

For any queries/doubts 🔗 👇

Ankit Gupta

MrAnkitGupta_

MrAnkitGuptaMrAnkitGupta_AnkitGuptaMrAnkitGuptamrankitguptaaggle

About

An exploratory data analysis (EDA) and data visualization project using data from Spotify using Python.

Resources

Readme
MIT license
Activity

Stars

53 stars

Watchers

2 watching

Forks

6 forks
Report repository

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Spotify Data Analysis using Python Project.ipynb

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Spotify Spotify Data Analysis using Python python

I'm sharing an Exploratory Data Analysis (EDA) and Data Visualization of the data from Spotify using Python - A Data Analysis Project performed in my journey into Data Science.

About the Project

Spotify is a Swedish audio streaming and media services provider founded in April 2006. It is the world's largest music streaming service provider and has over 381 million monthly active users, which also includes 172 million paid subscribers.

Spotify

  • Here, l have explored and quantified data about music and drawn valuable insights.

  • Conducted data cleaning to perform exploratory data analysis (EDA) and data visualization of the Spotify dataset using Python (Pandas, NumPy, Matplotlib and Seaborn).

  • Data analysis - Exploring the relationship between the audio features of a song and how positive or negative its lyrics are, involving sentiment analysisand manyuy more.

  • Spotify Data Analysis makes use of secondary data from Spotify. Use data to identify patterns and relationships between different characteristics. The activity will support in developing ability to review and interpret a dataset.

Prerequisite:Data Analyst Roadmap ⌛ , Python Lessons 📑 & Python Libraries for Data Science 🗂️

Technologies used ⚙️

Python Libraries :

Certifications 📜 🎓 ✔️

Project - Spotify Data Analysis using Python

Kaggle Project: Spotify Data AnalysisSpotify 🔗

Kaggle Spotify Datasets:Spotify Tracks & Spotify Features

Objective

  1. Top 10 most popular songs on Spotify

  2. Top 10 least popular songs on Spotify

  3. Correlation Heatmap between Variable

Spotify Data Analysis using Python

  1. Regression plot - Correlation between Loudness and Energy

Spotify Data Analysis using Python

  1. Regression plot - Correlation between Popularity and Acousticness

Spotify Data Analysis using Python

  1. Distibution plot - Visualize total number of songs on Spotify since 1992

Spotify Data Analysis using Python

  1. Change in Duration of songs wrt Years

Spotify Data Analysis using Python

  1. Duration of songs in different Genres

  1. Top 5 Genres by Popularity

Related Projects:question: 👨‍💻 🛰️

Data Analyst Roadmap ⌛

Sales Insights - Data Analysis using Tableau & SQL 📊

Statistics for Data Science using Python 📊

Kaggle - Pandas Solved Exercises 📊

Python Lessons 📑

Python Libraries for Data Science 🗂️

Liked my Contributions:question: Follow Me👉 Kaggle and GitHub

👉 Nominate Me for GitHub Stars ⭐ ✨

For any queries/doubts 🔗 👇

Ankit Gupta

MrAnkitGupta_

MrAnkitGuptaMrAnkitGupta_AnkitGuptaMrAnkitGuptamrankitguptaaggle

About

An exploratory data analysis (EDA) and data visualization project using data from Spotify using Python.

Resources

Readme
MIT license
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53 stars

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2 watching

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6 forks
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Repository files navigation

Spotify Spotify Data Analysis using Python python

I'm sharing an Exploratory Data Analysis (EDA) and Data Visualization of the data from Spotify using Python - A Data Analysis Project performed in my journey into Data Science.

About the Project

Spotify is a Swedish audio streaming and media services provider founded in April 2006. It is the world's largest music streaming service provider and has over 381 million monthly active users, which also includes 172 million paid subscribers.

Spotify

  • Here, l have explored and quantified data about music and drawn valuable insights.

  • Conducted data cleaning to perform exploratory data analysis (EDA) and data visualization of the Spotify dataset using Python (Pandas, NumPy, Matplotlib and Seaborn).

  • Data analysis - Exploring the relationship between the audio features of a song and how positive or negative its lyrics are, involving sentiment analysisand manyuy more.

  • Spotify Data Analysis makes use of secondary data from Spotify. Use data to identify patterns and relationships between different characteristics. The activity will support in developing ability to review and interpret a dataset.

Prerequisite:Data Analyst Roadmap ⌛ , Python Lessons 📑 & Python Libraries for Data Science 🗂️

Technologies used ⚙️

Python Libraries :

Certifications 📜 🎓 ✔️

Project - Spotify Data Analysis using Python

Kaggle Project: Spotify Data AnalysisSpotify 🔗

Kaggle Spotify Datasets:Spotify Tracks & Spotify Features

Objective

  1. Top 10 most popular songs on Spotify

  2. Top 10 least popular songs on Spotify

  3. Correlation Heatmap between Variable

Spotify Data Analysis using Python

  1. Regression plot - Correlation between Loudness and Energy

Spotify Data Analysis using Python

  1. Regression plot - Correlation between Popularity and Acousticness

Spotify Data Analysis using Python

  1. Distibution plot - Visualize total number of songs on Spotify since 1992

Spotify Data Analysis using Python

  1. Change in Duration of songs wrt Years

Spotify Data Analysis using Python

  1. Duration of songs in different Genres

  1. Top 5 Genres by Popularity

Related Projects:question: 👨‍💻 🛰️

Data Analyst Roadmap ⌛

Sales Insights - Data Analysis using Tableau & SQL 📊

Statistics for Data Science using Python 📊

Kaggle - Pandas Solved Exercises 📊

Python Lessons 📑

Python Libraries for Data Science 🗂️

Liked my Contributions:question: Follow Me👉 Kaggle and GitHub

👉 Nominate Me for GitHub Stars ⭐ ✨

For any queries/doubts 🔗 👇

Ankit Gupta

MrAnkitGupta_

MrAnkitGuptaMrAnkitGupta_AnkitGuptaMrAnkitGuptamrankitguptaaggle

About

An exploratory data analysis (EDA) and data visualization project using data from Spotify using Python.

Resources

Readme
MIT license
Activity

Stars

53 stars

Watchers

2 watching

Forks

6 forks
Report repository

Releases

Packages

Contributors

Languages