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python-challenge

Module 3 Challenge

PyBank Instructions In this Challenge, you are tasked with creating a Python script to analyze the financial records of your company. You will be given a financial dataset called budget_data.csv. The dataset is composed of two columns: "Date" and "Profit/Losses".

Your task is to create a Python script that analyzes the records to calculate each of the following values:

The total number of months included in the dataset

The net total amount of "Profit/Losses" over the entire period

The changes in "Profit/Losses" over the entire period, and then the average of those changes

The greatest increase in profits (date and amount) over the entire period

The greatest decrease in profits (date and amount) over the entire period

Your analysis should align with the following results:

Financial Analysis

Total Months: 86 Total: $22564198 Average Change: $-8311.11 Greatest Increase in Profits: Aug-16 ($1862002) Greatest Decrease in Profits: Feb-14 ($-1825558) In addition, your final script should both print the analysis to the terminal and export a text file with the results.

PyPoll Instructions In this Challenge, you are tasked with helping a small, rural town modernize its vote-counting process.

You will be given a set of poll data called election_data.csv. The dataset is composed of three columns: "Voter ID", "County", and "Candidate". Your task is to create a Python script that analyzes the votes and calculates each of the following values:

The total number of votes cast

A complete list of candidates who received votes

The percentage of votes each candidate won

The total number of votes each candidate won

The winner of the election based on popular vote

Your analysis should align with the following results:

Election Results

Total Votes: 369711

Charles Casper Stockham: 23.049% (85213) Diana DeGette: 73.812% (272892) Raymon Anthony Doane: 3.139% (11606)

Winner: Diana DeGette

In addition, your final script should both print the analysis to the terminal and export a text file with the results.

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python-challenge

Module 3 Challenge

PyBank Instructions In this Challenge, you are tasked with creating a Python script to analyze the financial records of your company. You will be given a financial dataset called budget_data.csv. The dataset is composed of two columns: "Date" and "Profit/Losses".

Your task is to create a Python script that analyzes the records to calculate each of the following values:

The total number of months included in the dataset

The net total amount of "Profit/Losses" over the entire period

The changes in "Profit/Losses" over the entire period, and then the average of those changes

The greatest increase in profits (date and amount) over the entire period

The greatest decrease in profits (date and amount) over the entire period

Your analysis should align with the following results:

Financial Analysis

Total Months: 86 Total: $22564198 Average Change: $-8311.11 Greatest Increase in Profits: Aug-16 ($1862002) Greatest Decrease in Profits: Feb-14 ($-1825558) In addition, your final script should both print the analysis to the terminal and export a text file with the results.

PyPoll Instructions In this Challenge, you are tasked with helping a small, rural town modernize its vote-counting process.

You will be given a set of poll data called election_data.csv. The dataset is composed of three columns: "Voter ID", "County", and "Candidate". Your task is to create a Python script that analyzes the votes and calculates each of the following values:

The total number of votes cast

A complete list of candidates who received votes

The percentage of votes each candidate won

The total number of votes each candidate won

The winner of the election based on popular vote

Your analysis should align with the following results:

Election Results

Total Votes: 369711

Charles Casper Stockham: 23.049% (85213) Diana DeGette: 73.812% (272892) Raymon Anthony Doane: 3.139% (11606)

Winner: Diana DeGette

In addition, your final script should both print the analysis to the terminal and export a text file with the results.

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Force GitHub README to respect dark mode (function() { var style = document.createElement('style'); style.textContent = ' .markdown-body { color-scheme: dark light; } .markdown-body pre { background: #161b22 !important; } .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; } .markdown-body table th, .markdown-body table td { border-color: #30363d !important; } .markdown-body img { background: #0d1117; } .markdown-body blockquote { border-left-color: #8b949e; } .markdown-body hr { border-color: #30363d; } '; document.head.appendChild(style); })(); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - NoelleMtz/python-challenge: Module 3 Challenge · GitHub
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python-challenge

Module 3 Challenge

PyBank Instructions In this Challenge, you are tasked with creating a Python script to analyze the financial records of your company. You will be given a financial dataset called budget_data.csv. The dataset is composed of two columns: "Date" and "Profit/Losses".

Your task is to create a Python script that analyzes the records to calculate each of the following values:

The total number of months included in the dataset

The net total amount of "Profit/Losses" over the entire period

The changes in "Profit/Losses" over the entire period, and then the average of those changes

The greatest increase in profits (date and amount) over the entire period

The greatest decrease in profits (date and amount) over the entire period

Your analysis should align with the following results:

Financial Analysis

Total Months: 86 Total: $22564198 Average Change: $-8311.11 Greatest Increase in Profits: Aug-16 ($1862002) Greatest Decrease in Profits: Feb-14 ($-1825558) In addition, your final script should both print the analysis to the terminal and export a text file with the results.

PyPoll Instructions In this Challenge, you are tasked with helping a small, rural town modernize its vote-counting process.

You will be given a set of poll data called election_data.csv. The dataset is composed of three columns: "Voter ID", "County", and "Candidate". Your task is to create a Python script that analyzes the votes and calculates each of the following values:

The total number of votes cast

A complete list of candidates who received votes

The percentage of votes each candidate won

The total number of votes each candidate won

The winner of the election based on popular vote

Your analysis should align with the following results:

Election Results

Total Votes: 369711

Charles Casper Stockham: 23.049% (85213) Diana DeGette: 73.812% (272892) Raymon Anthony Doane: 3.139% (11606)

Winner: Diana DeGette

In addition, your final script should both print the analysis to the terminal and export a text file with the results.

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

Module 3 Challenge

PyBank Instructions In this Challenge, you are tasked with creating a Python script to analyze the financial records of your company. You will be given a financial dataset called budget_data.csv. The dataset is composed of two columns: "Date" and "Profit/Losses".

Your task is to create a Python script that analyzes the records to calculate each of the following values:

The total number of months included in the dataset

The net total amount of "Profit/Losses" over the entire period

The changes in "Profit/Losses" over the entire period, and then the average of those changes

The greatest increase in profits (date and amount) over the entire period

The greatest decrease in profits (date and amount) over the entire period

Your analysis should align with the following results:

Financial Analysis

Total Months: 86 Total: $22564198 Average Change: $-8311.11 Greatest Increase in Profits: Aug-16 ($1862002) Greatest Decrease in Profits: Feb-14 ($-1825558) In addition, your final script should both print the analysis to the terminal and export a text file with the results.

PyPoll Instructions In this Challenge, you are tasked with helping a small, rural town modernize its vote-counting process.

You will be given a set of poll data called election_data.csv. The dataset is composed of three columns: "Voter ID", "County", and "Candidate". Your task is to create a Python script that analyzes the votes and calculates each of the following values:

The total number of votes cast

A complete list of candidates who received votes

The percentage of votes each candidate won

The total number of votes each candidate won

The winner of the election based on popular vote

Your analysis should align with the following results:

Election Results

Total Votes: 369711

Charles Casper Stockham: 23.049% (85213) Diana DeGette: 73.812% (272892) Raymon Anthony Doane: 3.139% (11606)

Winner: Diana DeGette

In addition, your final script should both print the analysis to the terminal and export a text file with the results.

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + ' GitHub - NoelleMtz/python-challenge: Module 3 Challenge · GitHub
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python-challenge

Module 3 Challenge

PyBank Instructions In this Challenge, you are tasked with creating a Python script to analyze the financial records of your company. You will be given a financial dataset called budget_data.csv. The dataset is composed of two columns: "Date" and "Profit/Losses".

Your task is to create a Python script that analyzes the records to calculate each of the following values:

The total number of months included in the dataset

The net total amount of "Profit/Losses" over the entire period

The changes in "Profit/Losses" over the entire period, and then the average of those changes

The greatest increase in profits (date and amount) over the entire period

The greatest decrease in profits (date and amount) over the entire period

Your analysis should align with the following results:

Financial Analysis

Total Months: 86 Total: $22564198 Average Change: $-8311.11 Greatest Increase in Profits: Aug-16 ($1862002) Greatest Decrease in Profits: Feb-14 ($-1825558) In addition, your final script should both print the analysis to the terminal and export a text file with the results.

PyPoll Instructions In this Challenge, you are tasked with helping a small, rural town modernize its vote-counting process.

You will be given a set of poll data called election_data.csv. The dataset is composed of three columns: "Voter ID", "County", and "Candidate". Your task is to create a Python script that analyzes the votes and calculates each of the following values:

The total number of votes cast

A complete list of candidates who received votes

The percentage of votes each candidate won

The total number of votes each candidate won

The winner of the election based on popular vote

Your analysis should align with the following results:

Election Results

Total Votes: 369711

Charles Casper Stockham: 23.049% (85213) Diana DeGette: 73.812% (272892) Raymon Anthony Doane: 3.139% (11606)

Winner: Diana DeGette

In addition, your final script should both print the analysis to the terminal and export a text file with the results.

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - NoelleMtz/python-challenge: Module 3 Challenge · GitHub
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python-challenge

Module 3 Challenge

PyBank Instructions In this Challenge, you are tasked with creating a Python script to analyze the financial records of your company. You will be given a financial dataset called budget_data.csv. The dataset is composed of two columns: "Date" and "Profit/Losses".

Your task is to create a Python script that analyzes the records to calculate each of the following values:

The total number of months included in the dataset

The net total amount of "Profit/Losses" over the entire period

The changes in "Profit/Losses" over the entire period, and then the average of those changes

The greatest increase in profits (date and amount) over the entire period

The greatest decrease in profits (date and amount) over the entire period

Your analysis should align with the following results:

Financial Analysis

Total Months: 86 Total: $22564198 Average Change: $-8311.11 Greatest Increase in Profits: Aug-16 ($1862002) Greatest Decrease in Profits: Feb-14 ($-1825558) In addition, your final script should both print the analysis to the terminal and export a text file with the results.

PyPoll Instructions In this Challenge, you are tasked with helping a small, rural town modernize its vote-counting process.

You will be given a set of poll data called election_data.csv. The dataset is composed of three columns: "Voter ID", "County", and "Candidate". Your task is to create a Python script that analyzes the votes and calculates each of the following values:

The total number of votes cast

A complete list of candidates who received votes

The percentage of votes each candidate won

The total number of votes each candidate won

The winner of the election based on popular vote

Your analysis should align with the following results:

Election Results

Total Votes: 369711

Charles Casper Stockham: 23.049% (85213) Diana DeGette: 73.812% (272892) Raymon Anthony Doane: 3.139% (11606)

Winner: Diana DeGette

In addition, your final script should both print the analysis to the terminal and export a text file with the results.

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - NoelleMtz/python-challenge: Module 3 Challenge · GitHub
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python-challenge

Module 3 Challenge

PyBank Instructions In this Challenge, you are tasked with creating a Python script to analyze the financial records of your company. You will be given a financial dataset called budget_data.csv. The dataset is composed of two columns: "Date" and "Profit/Losses".

Your task is to create a Python script that analyzes the records to calculate each of the following values:

The total number of months included in the dataset

The net total amount of "Profit/Losses" over the entire period

The changes in "Profit/Losses" over the entire period, and then the average of those changes

The greatest increase in profits (date and amount) over the entire period

The greatest decrease in profits (date and amount) over the entire period

Your analysis should align with the following results:

Financial Analysis

Total Months: 86 Total: $22564198 Average Change: $-8311.11 Greatest Increase in Profits: Aug-16 ($1862002) Greatest Decrease in Profits: Feb-14 ($-1825558) In addition, your final script should both print the analysis to the terminal and export a text file with the results.

PyPoll Instructions In this Challenge, you are tasked with helping a small, rural town modernize its vote-counting process.

You will be given a set of poll data called election_data.csv. The dataset is composed of three columns: "Voter ID", "County", and "Candidate". Your task is to create a Python script that analyzes the votes and calculates each of the following values:

The total number of votes cast

A complete list of candidates who received votes

The percentage of votes each candidate won

The total number of votes each candidate won

The winner of the election based on popular vote

Your analysis should align with the following results:

Election Results

Total Votes: 369711

Charles Casper Stockham: 23.049% (85213) Diana DeGette: 73.812% (272892) Raymon Anthony Doane: 3.139% (11606)

Winner: Diana DeGette

In addition, your final script should both print the analysis to the terminal and export a text file with the results.

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Universal Dark Mode - works on any site (function() { var enabled = true; function applyDarkMode() { if (!enabled) return; // Create style element if it doesn't exist var style = document.getElementById('universal-dark-mode-style'); if (!style) { style = document.createElement('style'); style.id = 'universal-dark-mode-style'; document.head.appendChild(style); } // Dark mode CSS - inverts colors but preserves images/video style.textContent = ' /* Invert everything except media */ html { filter: invert(1) hue-rotate(180deg) !important; background: #1a1a2e !important; } /* Restore images, videos, iframes, canvas */ img, video, iframe, canvas, svg, picture, [style*="background-image"] { filter: invert(1) hue-rotate(180deg) !important; } /* Preserve specific elements that should not be inverted */ .no-dark-mode, .no-dark-mode *, [data-theme="light"], [data-theme="light"], .ace_editor, .ace_editor *, .CodeMirror, .CodeMirror *, .monaco-editor, .monaco-editor *, .markdown-body pre, .markdown-body pre *, .highlight, .highlight *, pre code, pre code * { filter: none !important; } /* Fix common UI elements */ .modal, .popup, .dropdown-menu, .tooltip, .popover { filter: invert(1) hue-rotate(180deg) !important; background: #2d2d44 !important; border-color: #444 !important; } /* Scrollbars */ ::-webkit-scrollbar { background: #1a1a2e !important; } ::-webkit-scrollbar-thumb { background: #444 !important; } ::-webkit-scrollbar-thumb:hover { background: #555 !important; } /* Selection */ ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; } ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; } '; } function removeDarkMode() { var style = document.getElementById('universal-dark-mode-style'); if (style) style.remove(); } // Toggle with Alt+Shift+D document.addEventListener('keydown', function(e) { if (e.altKey && e.shiftKey && e.key === 'D') { e.preventDefault(); enabled = !enabled; if (enabled) { applyDarkMode(); console.log('[Universal Dark Mode] Enabled'); } else { removeDarkMode(); console.log('[Universal Dark Mode] Disabled'); } } }); // Apply on load applyDarkMode(); // Re-apply on dynamic content var observer = new MutationObserver(function(mutations) { if (enabled && !document.getElementById('universal-dark-mode-style')) { applyDarkMode(); } }); observer.observe(document.head, { childList: true }); console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle'); })(); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })(); GitHub - NoelleMtz/python-challenge: Module 3 Challenge · GitHub
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python-challenge

Module 3 Challenge

PyBank Instructions In this Challenge, you are tasked with creating a Python script to analyze the financial records of your company. You will be given a financial dataset called budget_data.csv. The dataset is composed of two columns: "Date" and "Profit/Losses".

Your task is to create a Python script that analyzes the records to calculate each of the following values:

The total number of months included in the dataset

The net total amount of "Profit/Losses" over the entire period

The changes in "Profit/Losses" over the entire period, and then the average of those changes

The greatest increase in profits (date and amount) over the entire period

The greatest decrease in profits (date and amount) over the entire period

Your analysis should align with the following results:

Financial Analysis

Total Months: 86 Total: $22564198 Average Change: $-8311.11 Greatest Increase in Profits: Aug-16 ($1862002) Greatest Decrease in Profits: Feb-14 ($-1825558) In addition, your final script should both print the analysis to the terminal and export a text file with the results.

PyPoll Instructions In this Challenge, you are tasked with helping a small, rural town modernize its vote-counting process.

You will be given a set of poll data called election_data.csv. The dataset is composed of three columns: "Voter ID", "County", and "Candidate". Your task is to create a Python script that analyzes the votes and calculates each of the following values:

The total number of votes cast

A complete list of candidates who received votes

The percentage of votes each candidate won

The total number of votes each candidate won

The winner of the election based on popular vote

Your analysis should align with the following results:

Election Results

Total Votes: 369711

Charles Casper Stockham: 23.049% (85213) Diana DeGette: 73.812% (272892) Raymon Anthony Doane: 3.139% (11606)

Winner: Diana DeGette

In addition, your final script should both print the analysis to the terminal and export a text file with the results.

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