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77        title="Posts" /></a></div><h2 class="home-subtitle"><div id="id-1" class="typeit"></div></h2><div class="links"><a href="https://github.com/diwashrestha" title="GitHub" target="_blank" rel="noopener noreffer me"><i class="fab fa-github-alt fa-fw"></i></a><a href="https://linkedin.com/in/shresthadiwash/" title="LinkedIn" target="_blank" rel="noopener noreffer me"><i class="fab fa-linkedin fa-fw"></i></a><a href="https://twitter.com/diwastha" title="Twitter" target="_blank" rel="noopener noreffer me"><i class="fab fa-twitter fa-fw"></i></a><a href="https://www.instagram.com/shrestha__diwash/" title="Instagram" target="_blank" rel="noopener noreffer me"><i class="fab fa-instagram fa-fw"></i></a><a href="https://facebook.com/shrestha.diwash.50" title="facebook" target="_blank" rel="noopener noreffer me"><i class="fab fa-facebook fa-fw"></i></a><a href="https://medium.com/@diwashrestha" title="Medium" target="_blank" rel="noopener noreffer me"><i class="fab fa-medium fa-fw"></i></a><a href="https://stackoverflow.com/users/9717032/diwash-shrestha" title="Stack Overflow" target="_blank" rel="noopener noreffer me"><i class="fab fa-codepen fa-fw"></i></a></div></div>
78<article class="single summary" itemscope itemtype="http://schema.org/Article"><div class="featured-image-preview">
79            <a href="/posts/access_modifier_csharp/"><img
80        class="lazyload"
81        src="/svg/loading/normal.min.svg"
82        data-src="/images/access_modifier_csharp/preview.png"
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84        data-sizes="auto"
85        alt="/images/access_modifier_csharp/preview.png"
86        title="/images/access_modifier_csharp/preview.png" /></a>
87        </div><h1 class="single-title" itemprop="name headline">
88        <a href="/posts/access_modifier_csharp/">Access Modifier in C#</a>
89    </h1><div class="post-meta"><span class="post-author"><a href="/" title="Author" rel=" author" class="author"><i class="fas fa-user-circle fa-fw"></i></a></span>&nbsp;<span class="post-publish">
90            published on&nbsp;<time datetime=Tuesday,&#32;Aug&#32;25,&#32;2020>Tuesday, Aug 25, 2020</time>
91        </span></div><div class="content">Access Modifier is the keyword which decide who can access resource or object in a C# program. We can control the access level of class, method , variables in a program using a access modifier.
92 There are six Access Modifiers in C# which have different features and which give different levels of access to the object(class/method/variable) with which it is used.
93Public Access Modifier The objects(methods/properties) with public access modifiers can be accessed from anywhere in a project.</div><div class="post-footer">
94        <a href="/posts/access_modifier_csharp/">Read More</a></div>
95</article>
96<article class="single summary" itemscope itemtype="http://schema.org/Article"><div class="featured-image-preview">
97            <a href="/posts/interactive_visualization_plotly_ggplot/"><img
98        class="lazyload"
99        src="/svg/loading/normal.min.svg"
100        data-src="/images/ggplot_plotly/preview.png"
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102        data-sizes="auto"
103        alt="/images/ggplot_plotly/preview.png"
104        title="/images/ggplot_plotly/preview.png" /></a>
105        </div><h1 class="single-title" itemprop="name headline">
106        <a href="/posts/interactive_visualization_plotly_ggplot/">Interactive Visualization with ggplot2 and Plotly</a>
107    </h1><div class="post-meta"><span class="post-author"><a href="/" title="Author" rel=" author" class="author"><i class="fas fa-user-circle fa-fw"></i></a></span>&nbsp;<span class="post-publish">
108            published on&nbsp;<time datetime=Sunday,&#32;Dec&#32;15,&#32;2019>Sunday, Dec 15, 2019</time>
109        </span></div><div class="content">I love to work with data and while analyzing the data visualization helps a lot to show the result of analysis. In this blog i will show how to create interactive visualization with ggplot2 and plotly package in Rstudio Environment.
110GGplot2 is powerfull visualization package based on The grammar of graphics and part of Tidyverse. It is easy to use and powerful to create any type of visualization. The problem is it can only make beautiful static visualization.</div><div class="post-footer">
111        <a href="/posts/interactive_visualization_plotly_ggplot/">Read More</a></div>
112</article>
113<article class="single summary" itemscope itemtype="http://schema.org/Article"><div class="featured-image-preview">
114            <a href="/posts/student-dev-hack/"><img
115        class="lazyload"
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119        data-sizes="auto"
120        alt="/images/student_dev_hack/preview.png"
121        title="/images/student_dev_hack/preview.png" /></a>
122        </div><h1 class="single-title" itemprop="name headline">
123        <a href="/posts/student-dev-hack/">Organized Student Dev Hack</a>
124    </h1><div class="post-meta"><span class="post-author"><a href="/" title="Author" rel=" author" class="author"><i class="fas fa-user-circle fa-fw"></i></a></span>&nbsp;<span class="post-publish">
125            published on&nbsp;<time datetime=Tuesday,&#32;Dec&#32;10,&#32;2019>Tuesday, Dec 10, 2019</time>
126        </span></div><div class="content">DataSansar Organized Student Dev Hack on Dec 7 2019. It was a hackathon for students who want to learn by working on real projects. The hackathon was organized in ACHS College Hall.
127Student Dev Hack was an event for beginner coders/students who want to learn new things and create solutions for problems working in a team. The hackathon moto was:
128 Learn Build Share
129 The hackathon&rsquo;s main focus was to solve problems related to tourism, education and health sector of Nepal.</div><div class="post-footer">
130        <a href="/posts/student-dev-hack/">Read More</a></div>
131</article>
132<article class="single summary" itemscope itemtype="http://schema.org/Article"><div class="featured-image-preview">
133            <a href="/posts/solveathon-2019/"><img
134        class="lazyload"
135        src="/svg/loading/normal.min.svg"
136        data-src="/images/solveathon/preview.png"
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138        data-sizes="auto"
139        alt="/images/solveathon/preview.png"
140        title="/images/solveathon/preview.png" /></a>
141        </div><h1 class="single-title" itemprop="name headline">
142        <a href="/posts/solveathon-2019/">Solveathon 2019: Nepal Tourism Dashboard</a>
143    </h1><div class="post-meta"><span class="post-author"><a href="/" title="Author" rel=" author" class="author"><i class="fas fa-user-circle fa-fw"></i></a></span>&nbsp;<span class="post-publish">
144            published on&nbsp;<time datetime=Thursday,&#32;Nov&#32;28,&#32;2019>Thursday, Nov 28, 2019</time>
145        </span></div><div class="content">Introduction Closing ceremony of #solveathon2019 is happening now. Open data expo is happening. We @datasansar team are showcasing NepalTourism Dashboard Project made with #rstats.#hackathon #VisitNepal2020 #Nepal #K
145athmandu pic.twitter.com/LrD2wIJDBn
146&mdash; Diwash Shrestha 🇳🇵 👨🏽‍💻 (@diwastha) December 15, 2019  We from DataSansar Team attended the Solveathon 2019 for solving social problems with data driven solutions. Solveathon 2019 was a two-day event, organized by the World Bank, The Asia Foundation and supported by the UKaid at the Kathmandu University School of Management on 14-15 December.</div><div class="post-footer">
147        <a href="/posts/solveathon-2019/">Read More</a></div>
148</article>
149<article class="single summary" itemscope itemtype="http://schema.org/Article"><div class="featured-image-preview">
150            <a href="/posts/tourism_nepal/"><img
151        class="lazyload"
152        src="/svg/loading/normal.min.svg"
153        data-src="/images/tourism_in_nepal/preview.png"
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155        data-sizes="auto"
156        alt="/images/tourism_in_nepal/preview.png"
157        title="/images/tourism_in_nepal/preview.png" /></a>
158        </div><h1 class="single-title" itemprop="name headline">
159        <a href="/posts/tourism_nepal/">Tourism in Nepal</a>
160    </h1><div class="post-meta"><span class="post-author"><a href="/" title="Author" rel=" author" class="author"><i class="fas fa-user-circle fa-fw"></i></a></span>&nbsp;<span class="post-publish">
161            published on&nbsp;<time datetime=Friday,&#32;Nov&#32;22,&#32;2019>Friday, Nov 22, 2019</time>
162        </span></div><div class="content">Introduction Nepal is celebrating year 2020 as “Tourism Year” targeting 2 million international tourist arrivals. You can learn more about the #VisitNepal2020. I want to see the trend/history of nepal tourism and extracted the data from the Wikipedia in Scraping Data with R blog post.
163Visit Nepal 2020" Visit Nepal 2020  In this section, we will work on the scrapped data from the Scraping Data with R blog post and perform analysis, create some visualization and understand the trend of Tourism in Nepal.</div><div class="post-footer">
164        <a href="/posts/tourism_nepal/">Read More</a></div>
165</article>
166<article class="single summary" itemscope itemtype="http://schema.org/Article"><div class="featured-image-preview">
167            <a href="/posts/scraping_data_with_r/"><img
168        class="lazyload"
169        src="/svg/loading/normal.min.svg"
170        data-src="/images/scrap_data/preview.png"
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172        data-sizes="auto"
173        alt="/images/scrap_data/preview.png"
174        title="/images/scrap_data/preview.png" /></a>
175        </div><h1 class="single-title" itemprop="name headline">
176        <a href="/posts/scraping_data_with_r/">Scraping Data with R</a>
177    </h1><div class="post-meta"><span class="post-author"><a href="/" title="Author" rel=" author" class="author"><i class="fas fa-user-circle fa-fw"></i></a></span>&nbsp;<span class="post-publish">
178            published on&nbsp;<time datetime=Tuesday,&#32;Nov&#32;5,&#32;2019>Tuesday, Nov 5, 2019</time>
179        </span></div><div class="content">In Data Analysis require a data on which we can perform analysis and find insights. We always don’t get clean open data for our analysis so we need to create, find our data. In this post, I describe how to extract data from a website using R.
180Nepal is a Himalayan nation with beautiful mountains, ancient cultures, traditions and rich history. Nepal is celebrating year 2020 as “Tourism Year” targeting 2 million international tourist arrivals.</div><div class="post-footer">
181        <a href="/posts/scraping_data_with_r/">Read More</a></div>
182</article>
183<article class="single summary" itemscope itemtype="http://schema.org/Article"><div class="featured-image-preview">
184            <a href="/posts/tidyweek/"><img
185        class="lazyload"
186        src="/svg/loading/normal.min.svg"
187        data-src="/images/tidyweek/preview.png"
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189        data-sizes="auto"
190        alt="/images/tidyweek/preview.png"
191        title="/images/tidyweek/preview.png" /></a>
192        </div><h1 class="single-title" itemprop="name headline">
193        <a href="/posts/tidyweek/">
193Tidyweek - Data Analysis Bootcamp</a>
194    </h1><div class="post-meta"><span class="post-author"><a href="/" title="Author" rel=" author" class="author"><i class="fas fa-user-circle fa-fw"></i></a></span>&nbsp;<span class="post-publish">
195            published on&nbsp;<time datetime=Wednesday,&#32;Sep&#32;25,&#32;2019>Wednesday, Sep 25, 2019</time>
196        </span></div><div class="content">Introduction R Nepal organized Tidyweek - Data Analysis with R Bootcamp. The Bootcamp was organized in ACHS college between Sep 20th-23rd, 2019.
197There were 25 participants from various backgrounds (health, business, agriculture, academia). I and Binod Jung Bogati were the educator for the event.
198Day 1 Binod spoke about the data analysis and process of data analysis. After that he taught the basic R and Rstudio.
199Day 2 Binod ran the Data import session where he taught participants to import different form of data in R.</div><div class="post-footer">
200        <a href="/posts/tidyweek/">Read More</a></div>
201</article>
202<article class="single summary" itemscope itemtype="http://schema.org/Article"><div class="featured-image-preview">
203            <a href="/posts/tidytuesday_videogame/"><img
204        class="lazyload"
205        src="/svg/loading/normal.min.svg"
206        data-src="/images/tidytuesday/preview.png"
207        data-srcset="/images/tidytuesday/preview.png, /images/tidytuesday/preview.png 1.5x, /images/tidytuesday/preview.png 2x"
208        data-sizes="auto"
209        alt="/images/tidytuesday/preview.png"
210        title="/images/tidytuesday/preview.png" /></a>
211        </div><h1 class="single-title" itemprop="name headline">
212        <a href="/posts/tidytuesday_videogame/">TidyTuesday:VideoGame</a>
213    </h1><div class="post-meta"><span class="post-author"><a href="/" title="Author" rel=" author" class="author"><i class="fas fa-user-circle fa-fw"></i></a></span>&nbsp;<span class="post-publish">
214            published on&nbsp;<time datetime=Tuesday,&#32;Aug&#32;6,&#32;2019>Tuesday, Aug 6, 2019</time>
215        </span></div><div class="content">In this post, I will analyse the Tidytuesday Dataset about a video game from the Steam store using R and Rstudio.
216Load the packages 1 2 3 4 5 6  library(tidyverse) library(lubridate) library(magrittr) library(ggthemr) library(RColorBrewer) library(gganimate)   Load the data 1 2  video_game &lt;- read_csv(&#34;https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2019/2019-07-30/video_games.csv&#34;)   Data Transformation Lets take a look at our dataframe.
2171  head(video_game)   1 2 3 4 5 6 7 8 9 10 11 12  # A tibble: 6 x 10 number game release_date price owners developer publisher &lt;dbl&gt; &lt;chr&gt; &lt;chr&gt; &lt;dbl&gt; &lt;chr&gt; &lt;chr&gt; &lt;chr&gt; 1 1 Half… Nov 16, 2004 9.</div><div class="post-footer">
218        <a href="/posts/tidytuesday_videogame/">Read More</a></div>
219</article>
220<article class="single summary" itemscope itemtype="http://schema.org/Article"><div class="featured-image-preview">
221            <a href="/posts/visualize_earthquake/"><img
222        class="lazyload"
223        src="/svg/loading/normal.min.svg"
224        data-src="/images/visual_earthquake/preview.png"
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226        data-sizes="auto"
227        alt="/images/visual_earthquake/preview.png"
228        title="/images/visual_earthquake/preview.png" /></a>
229        </div><h1 class="single-title" itemprop="name headline">
230        <a href="/posts/visualize_earthquake/">Visualizing Earthquake</a>
231    </h1><div class="post-meta"><span class="post-author"><a href="/" title="Author" rel=" author" class="author"><i class="fas fa-user-circle fa-fw"></i></a></span>&nbsp;<span class="post-publish">
232            published on&nbsp;<time datetime=Friday,&#32;Jul&#32;19,&#32;2019>Friday, Jul 19, 2019</time>
233        </span></div><div class="content">According to USGS:
234 An earthquake is caused by a sudden slip on a fault. The tectonic plates are always slowly moving, but they get stuck at their edges due to friction. When the stress on the edge overcomes the friction, there is an earthquake that releases energy in waves that travel through the earth&rsquo;s crust and cause the shaking that we feel.
235 Earthquake size can be very weak which can’t be felt to those which can destroy cities.</div><div class="post-footer">
236        <a href="/posts/visualize_earthquake/">Read More</a></div>
237</article>
238<article class="single summary" itemscope itemtype="http://schema.org/Article"><div class="featured-image-preview">
239            <a href="/posts/global-azure-bootcamp-2019/"><img
240        class="lazyload"
241        src="/svg/loading/normal.min.svg"
242        data-src="/images/gab_2019/preview.png"
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244        data-sizes="auto"
245        alt="/images/gab_2019/preview.png"
246        title="/images/gab_2019/preview.png" /></a>
247        </div><h1 class="single-title" itemprop="name headline">
248        <a href="/posts/global-azure-bootcamp-2019/">Organized Global Azure Bootcamp 2019</a>
249    </h1><div class="post-meta"><span class="post-author"><a href="/" title="Author" rel=" author" class="author"><i class="fas fa-user-circle fa-fw"></i></a></span>&nbsp;<span class="post-publish">
250            published on&nbsp;<time datetime=Monday,&#32;May&#32;27,&#32;2019>Monday, May 27, 2019</time>
251        </span></div><div class="content">DataSansar also organized Global Azure Bootcamp 2019 at ACHS College.Global Azure Bootcamp is global event for learning about Microsoft Azure and Cloud Computing which is organized in multiple locations globally and anually. The event was supported by microsoft and g
251ithub.
252The Bootcamp ran into three session by different speakers:
253 Cloud Computing Power BI Cognitive Services  The event was started by learning about the Cloud Computing from Binod Jung Bogati.</div><div class="post-footer">
254        <a href="/posts/global-azure-bootcamp-2019/">Read More</a></div>
255</article>
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277<script type="text/javascript" src="/lib/smooth-scroll/smooth-scroll.min.js"></script>
277<script type="text/javascript" src="/lib/lazysizes/lazysizes.min.js"></script>
277<script type="text/javascript" src="/lib/clipboard/clipboard.min.js"></script>
277<script type="text/javascript" src="/lib/typeit/typeit.min.js"></script>
277<script type="text/javascript">window.config={"code":{"copyTitle":"Copy to clipboard","maxShownLines":10},"data":{"id-1":"Hello, I'm Diwash. Welcome to my personal website"},"typeit":{"cursorChar":"|","cursorSpeed":1000,"data":{"id-1":["id-1"]},"duration":-1,"speed":100}};</script>
277<script type="text/javascript" src="/js/theme.min.js"></script>
277</body>
278</html>

Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.