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Data-Science-For-Beginners
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Quiz APp translation files added for Nepali language

Browse Source
pull/181/head
Ankur Singh 4 years ago
parent 147b4d294f
commit ec367ec0cb
9 changed files with 480 additions and 6 deletions
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5
quiz-app/src/App.vue
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@ -6,12 +6,12 @@
<select v-model="locale">
<option>en</option>
<option>es</option>
<option>ne</option>
</select>
<span class="title">{{ questions[locale][0].title }}</span>
</nav>
<div id="app">
<router-view>
<Quiz />
</router-view>
@ -29,7 +29,6 @@ export default {
questions() {
return messages;
},
},
i18n: { messages },
components: {
@ -75,7 +74,7 @@ nav a {
}
.title {
color:white;
color: white;
font-weight: bold;
font-size: x-large;
float: right;

8
quiz-app/src/assets/translations/index.js
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@ -1,10 +1,12 @@
import englishQuizzes from './en/';
import frenchQuizzes from './fr/';
import spanishQuizzes from './es/';
import englishQuizzes from "./en/";
import frenchQuizzes from "./fr/";
import spanishQuizzes from "./es/";
import nepaliQuizzes from "./ne";
const messages = {
en: englishQuizzes,
fr: frenchQuizzes,
es: spanishQuizzes,
ne: nepaliQuizzes,
};
export default messages;

453
quiz-app/src/assets/translations/ne/group-1.json
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@ -0,0 +1,453 @@
[
{
"title": "शुरुआती को लागी डाटा विज्ञान: क्विज",
"complete": "बधाई छ, तपाइँ क्विज पूरा गर्नुभयो!",
"error": "Sorry, try again",
"quizzes": [
{
"id": 0,
"title": "डाटा विज्ञान परिभाषित परि्भासा - क्विज पूर्व",
"quiz": [
{
"questionText": "डाटा विज्ञान मा शब्द _विज्ञान_ किन हुन्क्ष?",
"answerOptions": [
{
"answerText": "यस्मा डाटा विश्लेषण गर्न वैज्ञानिक विधिहरु को उपयोग हुन्क्ष",
"isCorrect": "true"
},
{
"answerText": "केवल शैक्षिक डिग्री भएका मानिसहरु यसलाई बुझ्न सक्छन्",
"isCorrect": "false"
},
{
"answerText": "कूल सुनिने भयेको कारण",
"isCorrect": "false"
}
]
},
{
"questionText": "डाटा विज्ञान सिक्न डेव्लपर को लागी मात्र उपयोगी छ",
"answerOptions": [
{
"answerText": "सहि",
"isCorrect": "false"
},
{
"answerText": "गलत",
"isCorrect": "true"
}
]
},
{
"questionText": "बास्केटबल खेलाडीहरु औसत मानिसहरु भन्दा अग्लो छन् भनेर प्रदर्शन गर्न के चाहिन्छ हामिलाई?",
"answerOptions": [
{
"answerText": "केहि डाटा सन्ंकलन गर्नुपर्क्ष",
"isCorrect": "false"
},
{
"answerText": "केहि सम्भावना र आँकडा जान्नुपर्क्ष",
"isCorrect": "false"
},
{
"answerText": "माथिका सबै",
"isCorrect": "true"
}
]
}
]
},
{
"id": 1,
"title": "डाटा विज्ञानको परिभासा: पोस्ट क्विज",
"quiz": [
{
"questionText": "कुन क्षेत्रहरु नजिक बाट डाटा विज्ञान संग सम्बन्धित छन्?",
"answerOptions": [
{
"answerText": "आर्टिफिसियल इन्टेलिजेन्स",
"isCorrect": "false"
},
{
"answerText": "मेशिन लर्निङ्ग",
"isCorrect": "false"
},
{
"answerText": "माथिका सबै",
"isCorrect": "true"
}
]
},
{
"questionText": "निम्न मध्ये कुन गैर-संरचित डाटा को एक उदाहरण हो?",
"answerOptions": [
{
"answerText": "कक्षा मा विद्यार्थीहरुको सूची",
"isCorrect": "false"
},
{
"answerText": "विद्यार्थीहरुको निबन्ध को संग्रह",
"isCorrect": "true"
},
{
"answerText": "सामाजिक सन्जाल प्रयोगकर्ताहरु को मित्र को ग्राफ",
"isCorrect": "false"
}
]
},
{
"questionText": "डाटा विज्ञान को मुख्य लक्ष्य के हो?",
"answerOptions": [
{
"answerText": "डाटा सन्ंकलन गर्न",
"isCorrect": "false"
},
{
"answerText": "डाटा प्रशोधन गर्न",
"isCorrect": "false"
},
{
"answerText": "डाटा मा आधारित निर्णय गर्न सक्षम हुन",
"isCorrect": "true"
}
]
}
]
},
{
"id": 2,
"title": "नैतिकता - पूर्व क्विज",
"quiz": [
{
"questionText": "डाटा विज्ञान मा नैतिकता को एक विचार के हो?",
"answerOptions": [
{
"answerText": "डाटा संकलन",
"isCorrect": "false"
},
{
"answerText": "एल्गोरिथ्म डिजाइन",
"isCorrect": "false"
},
{
"answerText": "माथिका सबै",
"isCorrect": "true"
}
]
},
{
"questionText": "निम्न मध्ये कुन नैतिक चुनौतिहरु को एक हिस्सा हो?",
"answerOptions": [
{
"answerText": "पारदर्शिता",
"isCorrect": "false"
},
{
"answerText": "डाटा गोपनीयता",
"isCorrect": "true"
},
{
"answerText": "विश्वसनीयता र सुरक्षा",
"isCorrect": "false"
}
]
},
{
"questionText": "डाटा नैतिकता मा एआई र मेशिन शिक्षा एल्गोरिदम सामेल छन् ",
"answerOptions": [
{
"answerText": "सहि",
"isCorrect": "true"
},
{
"answerText": "गलत, तिनीहरू अलग छन्",
"isCorrect": "false"
}
]
}
]
},
{
"id": 3,
"title": "नैतिकता - पोस्ट क्विज",
"quiz": [
{
"questionText": "नैतिकता र लागू नैतिकता को बीच मुख्य फरक के हो?",
"answerOptions": [
{
"answerText": "लागू नैतिकता नैतिकताको एक विशिष्ट प्रकार हो",
"isCorrect": "false"
},
{
"answerText": "लागू नैतिकता एक वास्तविक शब्द होइन",
"isCorrect": "false"
},
{
"answerText": "लागू नैतिकता नैतिक मुद्दाहरु खोज्न र सच्याउने प्रक्रिया हो",
"isCorrect": "true"
}
]
},
{
"questionText": "नैतिकता नियमन बनाम नैतिक सिद्धान्तहरु बीच के फरक छ?",
"answerOptions": [
{
"answerText": "नैतिकता नियमन नियमित नैतिकता मा केन्द्रित छ",
"isCorrect": "false"
},
{
"answerText": "कुनै फरक छैन",
"isCorrect": "false"
},
{
"answerText": "नैतिक सिद्धान्तहरु एक विशेष कानून संग सम्बन्धित छैन, जबकि नियमहरु गर्छन्",
"isCorrect": "true"
}
]
},
{
"questionText": "यि मध्ये कुन वास्तविक नैतिक सिद्धान्तहरु र अभ्यासहरु छन् जुन लागू गर्न सकिन्छ?",
"answerOptions": [
{
"answerText": "संग्रह पूर्वाग्रह",
"isCorrect": "false"
},
{
"answerText": "नैतिक नियमहरु संग अनुपालन",
"isCorrect": "false"
},
{
"answerText": "माथिका दुबै",
"isCorrect": "true"
}
]
}
]
},
{
"id": 4,
"title": "परिभाषित डाटा - पूर्व क्विज",
"quiz": [
{
"questionText": "यी मध्ये कुन मात्रात्मक डाटा हुन सक्छ?",
"answerOptions": [
{
"answerText": "कुकुरहरुको फोटो",
"isCorrect": "false"
},
{
"answerText": "होटलहरुको समीक्षा",
"isCorrect": "false"
},
{
"answerText": "विद्यार्थीको अंक वा ग्रेड",
"isCorrect": "true"
}
]
},
{
"questionText": "यी मध्ये कुन गुणात्मक डाटा हुन सक्छ?",
"answerOptions": [
{
"answerText": "कर्मचारीहरुको तलब को सूची",
"isCorrect": "false"
},
{
"answerText": "होटलहरुको समीक्षा",
"isCorrect": "true"
},
{
"answerText": "विद्यार्थीको अंक वा ग्रेड",
"isCorrect": "false"
}
]
},
{
"questionText": "डाटा वर्गीकरण गर्नुको मुख्य लक्ष्य के हो?",
"answerOptions": [
{
"answerText": "सही ढंगले डाटा भण्डारण गर्न",
"isCorrect": "false"
},
{
"answerText": "डाटालाई एक उचित नाम दिन",
"isCorrect": "false"
},
{
"answerText": "पठनीयता र विश्लेषणलाई व्यवस्थित गर्न को लागी कुन विधि राम्रो छ जान्न",
"isCorrect": "true"
}
]
}
]
},
{
"id": 5,
"title": "परिभाषित डाटा - पोस्ट क्विज",
"quiz": [
{
"questionText": "The teacher is reviewing students’ number of correct answers, what type of data is that?",
"answerOptions": [
{
"answerText": "Qualitative Data",
"isCorrect": "false"
},
{
"answerText": "Quantitative Data",
"isCorrect": "true"
},
{
"answerText": "All the above",
"isCorrect": "false"
}
]
},
{
"questionText": "A company is collecting surveys from their customers to improve their products. What type of data source is this?",
"answerOptions": [
{
"answerText": "Primary",
"isCorrect": "true"
},
{
"answerText": "Secondary",
"isCorrect": "false"
},
{
"answerText": "Tertiary",
"isCorrect": "false"
}
]
},
{
"questionText": "A student is collecting data using queries. What data source could that be?",
"answerOptions": [
{
"answerText": "Local Files",
"isCorrect": "false"
},
{
"answerText": "API",
"isCorrect": "false"
},
{
"answerText": "Database",
"isCorrect": "true"
}
]
}
]
},
{
"id": 6,
"title": "Statistics and Probability - Pre-Quiz",
"quiz": [
{
"questionText": "Why statistics and probability are important for data science?",
"answerOptions": [
{
"answerText": "Because you cannot operate on data without knowing math",
"isCorrect": "false"
},
{
"answerText": "Because data science is a science and has strong formal foundation",
"isCorrect": "true"
},
{
"answerText": "Because we want to keep uneducated people from doing data science",
"isCorrect": "false"
}
]
},
{
"questionText": "Can you get heads 10 times in a row when throwing a coin?",
"answerOptions": [
{
"answerText": "yes",
"isCorrect": "true"
},
{
"answerText": "no",
"isCorrect": "false"
}
]
},
{
"questionText": "When you throw a dice, what is the probability of getting an even number?",
"answerOptions": [
{
"answerText": "1/2",
"isCorrect": "true"
},
{
"answerText": "1/3",
"isCorrect": "false"
},
{
"answerText": "impossible to tell",
"isCorrect": "false"
}
]
}
]
},
{
"id": 7,
"title": "Statistics and Probability - Post-Quiz",
"quiz": [
{
"questionText": "We want to prove that basketball players are taller than average people. We have collected heights of 20 people from both groups. What do we need to do?",
"answerOptions": [
{
"answerText": "compare means",
"isCorrect": "false"
},
{
"answerText": "collect more data, 20 is not enough!",
"isCorrect": "false"
},
{
"answerText": "use t-test",
"isCorrect": "true"
}
]
},
{
"questionText": "How can we demonstrate that income of a person is dependent on the level of education?",
"answerOptions": [
{
"answerText": "compute correlation coefficient",
"isCorrect": "true"
},
{
"answerText": "divide into educated and non-educated cohorts and compute means",
"isCorrect": "false"
},
{
"answerText": "use t-test",
"isCorrect": "false"
}
]
},
{
"questionText": "We throw the dice 100 times and compute the average value. What would be the distribution of the result?",
"answerOptions": [
{
"answerText": "uniform",
"isCorrect": "false"
},
{
"answerText": "normal",
"isCorrect": "true"
},
{
"answerText": "none of the above",
"isCorrect": "false"
}
]
}
]
}
]
}
]

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quiz-app/src/assets/translations/ne/group-2.json
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quiz-app/src/assets/translations/ne/group-3.json
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quiz-app/src/assets/translations/ne/group-4.json
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quiz-app/src/assets/translations/ne/group-5.json
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quiz-app/src/assets/translations/ne/group-6.json
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quiz-app/src/assets/translations/ne/index.js
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@ -0,0 +1,20 @@
import ne0 from "./group-1.json";
import ne1 from "./group-2.json";
import ne2 from "./group-3.json";
import ne3 from "./group-4.json";
import ne4 from "./group-5.json";
import ne5 from "./group-6.json";
const quiz = {
0: ne0[0],
1: ne1[0],
2: ne2[0],
3: ne3[0],
4: ne4[0],
5: ne5[0],
};
export default quiz;
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