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<strong>StartxLabs</strong> is an IT Services and Software development <strong>company</strong> providing custom software development and product engineering services to startups and enterprises across the globe. We design and develop quality performance Mobile apps, Web platforms, and Software with cloud data at the focus point

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<strong>StartxLabs</strong> | 31,191 followers on LinkedIn. Custom Software | Mobile Apps | Automation | SaaS Platform development <strong>company</strong> <strong>|</strong> <strong>StartxLabs</strong> is an international website and mobile app development <strong>company</strong> providing the best in class digital services. Launched in 2014, <strong>StartxLabs</strong> aims to innovate a ...

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<strong>Startxlabs</strong> is an international website and mobile app development <strong>company</strong> providing the best in class digital services. Launched in 2014, <strong>Startxlabs</strong> aims in innovating a digital future by developing technology for the web and mobile platforms. From our beginning as a technology ... Read more

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Analysis is one of the most critical steps in any project. A vast amount of various data and records actually contain more than you think — patterns and dependencies. By studying them, you can significantly improve your decision-making abilities and learn much more than just numbers — you can see trends and predict future tendencies. But for all this, you need a and a . comprehensive analysis view from different angles For such thorough work, one way of analysis will not work; you need to use all methods of data processing and visualization. Therefore, the best and most irreplaceable assistant in such matters is . a dashboard Why do I recommend using dashboards in your analytical reports? Due to the use of different types of charts, heatmaps, and tables, dashboards allow you to visually compare metrics and show the extremes, the difference, and tendencies of changes in values ​​in an easily perceived form. And all this is based on the same data. That’s why I took my experience in the topic and want to share a comprehensive tutorial on how to create a dashboard. Choosing the right tools for the dashboard The more diverse your dataset is, the more different methods you can and should use in order . I tried to find a dataset with different data types to have a wide field for action. to get out of this data as much new as possible After examining everything the dataset, I decided that in my dashboard, I will use: a to aggregate data for all members, pivot a to see raw data and be able to find each individual record, regular table a , for a gradient display of metrics by country, map a to compare the total value for each member, column chart and a for the percentage of metrics. pie chart To make it easier to work with the dashboard, I will give it a form of a table so that you can see all the elements at once and be able to compare them. The ideal web dashboard should be so that changing the data and its presentation and instantly receiving the visualization is super convenient. Plus it saves time and makes analysis more efficient. interactive Accordingly, the criteria for choosing components are as follows: high functionality and interactivity, ease of implementation, good integration ability, and free to use. As a result, for my dashboard, I chose products such as (for flat and pivot tables) and for everything else. Both components are absolutely free, and besides that, the WebDataRocks has a special connector for Google Charts and another charting library I want to use. WebDataRocks Pivot Table Google Charts Google Charts also have maps in their list of available charts, but I used for visualizing country data because they are a little more interactive and user-friendly. This library is free only for non-commercial use, but for my purposes, that was enough. FusionCharts However, suppose you want to use dashboards in your commercial product. In that case, you most likely should look at paid charting libraries, such as , , or , since their capabilities are much wider, and the look and animations are more pleasant. Fusion Charts amCharts Highcharts Now the only thing left is to make a dashboard out of this. So let’s start! 1. Create The Base for a Web Dashboard First, let’s create the page itself and add the name of our dashboard and its structure to it. Each component will be in its own container: <H1 align=center>Sales Analytical Dashboard</H1>

<table>
 <tr>
    <td style="width: 750px;"><div id="wdr-component"></div>
    </td>
    
   <td><div id="googlechart-container1" style="width: 650px; height:400px;"></div>
   </td>
</tr>
  
 <tr>
    <td><div id="fusionmap-container" ></div>
    </td>
    
   <td><div id="googlechart-container" ></div>
   </td>
</tr>
</table>
<div id="wdr-component2"></div> After that, we need to add scripts and styles for each library so that we can see what we are getting on the fly. Here are all that I used: <link rel="stylesheet" type="text/css" href="https://cdn.webdatarocks.com/latest/webdatarocks.min.css" />

<script src="https://cdn.webdatarocks.com/latest/webdatarocks.toolbar.min.js"></script>
<script src="https://cdn.webdatarocks.com/latest/webdatarocks.js"></script>

<script src="https://cdn.webdatarocks.com/_codepen/webdatarocks.fusioncharts.js"></script>

<script src="https://static.fusioncharts.com/code/latest/fusioncharts.js"></script>

<script src="https://static.fusioncharts.com/code/latest/themes/fusioncharts.theme.fint.js"></script>

<script src="https://cdn.webdatarocks.com/latest/webdatarocks.googlecharts.js"></script>
<script src="https://www.gstatic.com/charts/loader.js"></script> But many libraries have other extensions, such as themes and animations, so you can add them yourself if needed. 2. Add the Pivot Table to the Dashboard I will start adding components from the tables, as I want the charts to visualize the data aggregated by pivot grid. Adding a pivot to the page is a simple step, you can follow a . You just need to create a pivot instance, give it raw data and specify the default slice to display: quick guide on how to add WebDataRocks var pivot = new WebDataRocks({
    container: "#wdr-component",
    toolbar: true,
    height: 380,
    width: "100%",
    report: {
    dataSource: {
       "dataSourceType": "csv",
        "filename": "https://cdn.webdatarocks.com/data/data.csv"
    },
    "slice": {
        "rows": [
            {
                "uniqueName": "Country"
            }
        ],
        "columns": [
            {
                "uniqueName": "Category"
            },
            {
                "uniqueName": "Measures"
            }
        ],
        "measures": [
            {
                "uniqueName": "Price",
                "aggregation": "sum"
            }
        ]
    }
  },
}); In the end, you will also need to add a event to the instance, which will call functions to create the remaining elements after the pivot sums up the necessary data and is ready to give it for visualization: reportcomplete pivot reportcomplete: function() {
        pivot.off("reportcomplete");
        pivotTableReportComplete = true;
        createGoogleChart();
        createGoogleChart1();
        createFusionMap();
    } Fine! Now we have a pivot and calculated data - we can move on. 3. Add Google Charts to the Dashboard Since the pivot has a special connector for transferring data to the charts, we will use it. Firstly, let’s add the following variables: var pivotTableReportComplete = false;
var googleChartsLoaded = false; They will help us understand if the pivot and charts are ready to start working with each other. Now we need to load the chart from the Google charts library and set the function as a callback to handler: onGoogleChartsLoaded() google.chartsevent google.charts.load('current', {
    'packages': ['corechart']
});
google.charts.setOnLoadCallback(onGoogleChartsLoaded);

Next, we will designate a function to create the charts:

function onGoogleChartsLoaded() {
    googleChartsLoaded = true;
    if (pivotTableReportComplete) {
        createGoogleChart();
        createGoogleChart1();
    }
} And finally, we can start drawing the charts. We have two types of them: column and pie charts. But they will be created in about the same way: function createGoogleChart() {
    if (googleChartsLoaded) {
        pivot.googlecharts.getData({
                type: "column"
            },
            drawChart,
            drawChart
        );
    }
}
function drawChart(_data) {
    var data = google.visualization.arrayToDataTable(_data.data);
    var options = {
        colors: ['#e44a00', '#ffeead', '#d9534f', '#ffad60', '#5bc0de', '#26827E']
    };
    var chart = new google.visualization.ColumnChart(document.getElementById('googlechart-container'));
    chart.draw(data, options);
} For the pie chart, it will look similar: function createGoogleChart1() {
    if (googleChartsLoaded) {
        pivot.googlecharts.getData({
                type: "pie"
            },
            drawChart1,
            drawChart1
        );
    }
}


function drawChart1(_data) {
    var data = google.visualization.arrayToDataTable(_data.data);
    var options = {
        legend: {
            position: 'top'
        },
        colors: ['#68AA23', '#3e6e0c', '#2b5202', '#558c1c', '#75b533', '#95e344']
    };
    var chart = new google.visualization.PieChart(document.getElementById('googlechart-container1'));
    chart.draw(data, options);
} 4. Add the FusionMap to the Dashboard There is also a connector for this library, you can read more about how it works in the . documentation Let’s start with a function to create a map: function createFusionMap() {
  var map = new FusionCharts({
    "type": "maps/worldwithcountries",
    
    "renderAt": "fusionmap-container",
    "width": "100%",
    "height": "400",
    "dataFormat": "json"
  }); The difference in creation will be more in data this map will show. I want the map to be static, in contrast to the charts, and it remains unchanged no matter what the pivot shows. what To do this, I will also connect it with the data received from the pivot, but I will define another slice, which will not change when updated and will only apply to this map. pivot.fusioncharts.getData({
    type: "maps/" + map.chartType(),
    "slice": {
        "rows": [
            {
                "uniqueName": "Country"
            }
        ],
        "columns": [
            {
                "uniqueName": "Category"
            },
            {
                "uniqueName": "Measures"
            }
        ],
        "measures": [
            {
                "uniqueName": "Price",
                "aggregation": "sum"
            }
        ]
    }
  }, function(data) { 
    data.chart.showLabels = "0";
    data.chart.showCanvasBorder = "0";
    data.chart.theme = "fint";
    data.chart.nullEntityColor = "#cccccc";
    data.chart.nullEntityAlpha = "50";
    data.colorrange = {
      "minvalue": data.extradata.minValue,
      "startlabel": "Low",
      "endlabel": "High",
      "code": "#e44a00",
      "gradient": "1",
      "color": [
        {
          "maxvalue": data.extradata.maxValue,
          "code": "#6baa01"
        }
      ]
    };
    delete data.extradata;
    map.setJSONData(data);
    map.render();
  }, function(data) { 
    data.chart.showLabels = "0";
    data.chart.showCanvasBorder = "0";
    data.chart.theme = "fint";
    data.chart.nullEntityColor = "#cccccc";
    data.chart.nullEntityAlpha = "50";
    data.colorrange = {
      "minvalue": data.extradata.minValue,
      "startlabel": "Low",
      "endlabel": "High",
      "code": "#e44a00",
      "gradient": "1",
      "color": [
        {
          "maxvalue": data.extradata.maxValue,
          "code": "#6baa01"
        }
      ]
    };
    delete data.extradata;
    map.setJSONData(data);
  });
} 5. Add the Data Grid to the Dashboard I think that seeing the raw data is also very important because if you notice some kind of inconsistency, you can quickly see what could have caused it by looking at the original dataset. To create a regular datа grid, I will use a flat pivot form. The process of creating a table is the same, but in the slice, we will indicate absolutely all the fields, and at the end, we will add options, in which we will indicate that we want to see a flat table: var pivot2 = new WebDataRocks({
    container: "#wdr-component2",
    height: 400,
    width: "100%",
    report: {
    "dataSource": {
        "dataSourceType": "csv",
        "filename": "https://cdn.webdatarocks.com/data/data.csv"
    },
    "slice": {
        "rows": [
            {
                "uniqueName": "Country"
            },
            {
                "uniqueName": "Business Type"
            },
            {
                "uniqueName": "Color"
            },
            {
                "uniqueName": "Destination"
            },
            {
                "uniqueName": "Discount"
            },
            {
                "uniqueName": "Quantity"
            },
            {
                "uniqueName": "Size"
            }
        ],
        "columns": [
            {
                "uniqueName": "Category"
            },
            {
                "uniqueName": "Measures"
            }
        ],
        "measures": [
            {
                "uniqueName": "Price",
                "aggregation": "sum"
            }
        ],
        "flatOrder": [
            "Country",
            "Category",
            "Price",
            "Business Type",
            "Color",
            "Destination",
            "Discount",
            "Quantity",
            "Size"
        ]
    },
    "options": {
        "grid": {
            "type": "flat"
        }
    }
  }
}); 6. Admiring the Resulting Dashboard Our dashboard is ready and working properly! We can change the data configuration on the pivot, and the charts will be immediately transformed, but the map will remain the same. If necessary, we can filter or sort the data both on the pivot and on the flat grid and also see the changes on the charts. You can see an interactive on the CodePen and play with it by yourself. Also, you can see a full realization of this tutorial with some of my comments. demo example of my dashboard I hope this tutorial helped you, and now you have an idea of ​​how you can create a web dashboard from various JavaScript components and use them in data analysis. If you have any further questions or additions, I will be more than glad to help!

How to Create a Simple Web Dashboard for Efficient Data Analytics

Mock the HTTP and HTTPS websites and REST APIs so that you don’t depend on these services or internet while working on any related development or automated testing. When developing a new client facing application either desktop, web or mobile, on of the biggest challenge is availability of right web services of API which might be part of your own server or some other third party web services if you are integrating your application to third party system. This problem also arises if application and the web services which are required to be consumed are being developed in parallel due to unavoidable situations. This problem is not just limited to development, its also a challenge in automated/manual testing. Any testing is only useful if its reliable. Having this in mind, it can be really problematic if required third party services/website changes, are down or some other issue or even if you are consuming your own web services, availability of right ad complete data every time during test itself can be big challenge. And if sometimes your test failed due to data contract changes in any of these services, its really hard to find out the exact cause. Fortunately, there are many tools available which can help you to mock the web services so that you no longer wait or get stuck due to unavailability or changes in the services. (its officially dead)and are two of them to name. Betamax had few of its own challenges like it require internet connection always to work which could be a problem if you are doing something security critical and you are working in isolated system. Betamax Flashback In this article, we will learn how to use to much the web services. Flashback is developed by LinkedIn which was open sourced in June 2017. Flashback What is Flashback Flashback s Java based cross platform tool written to mock HTTP and HTTPS services/ REST APIs. Basically it records the HTTP and HTTPS requests and stores locally and later it plays back the same request by matching the requests based on various request matching rules. Each such recording of request is called Scene.A match rule associates an incoming request with a previously-recorded request, which is then used to generate a response. HTTP requests generally contain a URL, method, headers, and body. Flashback allows match rules to be defined for any combination of these components. You can read more about Flashback and how it works here: https://github.com/linkedin/flashback Mocking a HTTP request Mocking a HTTP request is very simple using Flashback. Flashback works exactly like Man in Middle proxy which intercepts and then records all the web traffic. Flashback has two parts of it: — Its centrally controls the Flashback proxies created for recording and replaying HTTP and HTTPS scenes. Flashback Admin Server It actually intercepts the HTTP/HTTPS traffic and record and play them back. Save these recording as scene and then plays them back based on various match rules and provided configuration. Flashback Proxy server — Record HTTP Scene Before we actually mock a service, lets us first setup Flashback for mocking HTTP services. First of all make sure that http server is enabled in your machine if you are using the MAC. sudo apachectl start Clone the Flashback repo 1. git clone https://github.com/linkedin/flashback.git On terminal, change your current working directory to this clone repo directory and start Flashback admin server by running below script: 2. ./startAdminServer.sh -port 1234 Once admin server started, you can interact with it using REST APIs it exposes. Next step is to start a Flashback HTTP proxy server to record the HTTP scene. Simply hit the below API either using Curl or any of your favourite REST client, I have used Postman for this demo: 3. POST http://localhost:1234/admin?action=startFlashback Request Body: {"sceneMode": "record","sceneName": "test1","matchRule": "matchMethodBodyUri","scenePath": "/tmp","proxyHost": "localhost","proxyPort": "5555"} In body, we pass the various config parameter, you can refer here for more details of parameters . Everything is done now, our proxy is running to record the traffic but before that you need to configure this HTTP proxy settings on the device or MAC where you have run this proxy and where you want to record the traffic (typically the same machine). Sample setting below on MAC. 4. Once configured save settings and restart you browser or any other client you are using. If you are using any REST client, you can also choose to configure proxy setting in that REST client only rather than configuring in the system but make sure you have this proxy for all your request. Simply hit any HTTP website or REST API and once you are done, stop the Flashback proxy server. Flashback saves the Scenes on disk only once its stopped. 5. POST http://localhost:1234/admin?action=shutDownFlashback To verify if everything went well, jus go to your ‘scenePath’ location which you configure while starting proxy server and you should see a file with same name as ‘sceneName’, just open it and you will find all the HTTP websites/APIs you have visited. 6. Playback HTTP Scene To replay a previously stored scene, use the same basic setup as is used when recording; the only difference is that you set the “sceneMode” to “playback” in step 3 above: POST http://localhost:1234/admin?action=startFlashback Request Body: {"sceneMode": "playback","sceneName": "test1","matchRule": "matchMethodBodyUri","scenePath": "/tmp","proxyHost": "localhost","proxyPort": "5555"} One way to verify that the response is from the scene, not the external source, is to disable your internet connectivity temporarily when you go through Steps 1 through 6. Another way is to modify your scene file and see if the response is the same as what you have in the file. Make sure you still have system proxy setting configured in you machine as mentioned in step 4 above. There are various configuration parameter available for Flashback Admin server to start or stop HTTP to HTTPS proxy service which you would need as you go. Most of these parameters are not directly provided anywhere on git page of Flashback. Only way is to dig through he code and find out. Don’t worry you need not to do that I have found a few which you can use directly. Lets go through these parameters: Mocking a HTTPS request Mocking a HTTPs transaction is similar to HTTP transactions but it required few more configuration. HTTPS transactions are encrypted and Flashback can’t encode the transactions by default. In order to enable Flashback, we need to create a Certificate Authority (CA) certificate. This certificate will be used by Flashback to intercept the HTTPS traffic by violating man in middle attack. There are two way you can obtain and provide certificate to Flashback. Purchase a Intermediate CA certificate from any of trusted CA. Create your own CA and certificate and add it to you machine’s trusted store. You need to add it to CA trusted store as its your own and will not be identified and will not trusted by operating system as its not issue by trusted CA. Hence all communication will be blocked. Once you add your certificate to system trusted store, its become trustable for the OS. I will now be covering on how to created your own CA certificate, you can follow below guide blindly step by step to create your own certificate: https://jamielinux.com/docs/openssl-certificate-authority/create-the-root-pair.html Once you obtain the certificate, its just matter for some configuration to mock HTTPS traffic. If you follow the steps in above like to create the certificate, you will get one certificate ‘ ’ and one private key ‘ ’ also a password (say its ‘ ’) for these certificate for certificate and private key. Keep them handy, we would need them soon. ca.cert.pem ca.key.pem secretpassword There are two way you can provide the certificate to Flashback either directly input as . file or create the . file. pem p12 To create the . file, run the below command after obtaining both of above files: p12 openssl pkcs12 -export -out intermediateCA.p12 -inkey private/ca.key.pem -in certs/ca.cert.pem -name “secretpassword” It will generate you intermediateCA.p12 certificate. Now we are ready with all the prerequisites. Record and Replay HTTPS Scene . Simply hit the below API 1 POST http://localhost:1234/admin?action=startFlashback Request Body: {"sceneMode": "record","sceneName": "httpsTestScene","matchRule": "matchMethodBodyUri","scenePath": "/tmp","proxyHost": "localhost","proxyPort": "5555","caCertPath":"<Path to your intermediateCA.p12 file>/intermediate.p12","caCertPwd":"secretpassword", //or the password you have chosen"caAlias": "<CA alias name you provided when creating the CA certificate>","caKeyPwd": "secretpassword", //or the password you have chosen"caCertOU": "","caCertO": "","caCertCN": "","caCertL": "","caCertCC": ""} R efer here for more details of parameters . . Make sure you system proxy is configured as below, you can remove the HTTP proxy if you want which we configured earlier. 2 If you are using any REST client, you can also choose to configure proxy setting in that REST client only rather than configuring in the system but make sure you have this proxy for all your request. Hit any HTTPS websites or web services 3. Stop the Flashback Proxy server: 4. POST http://localhost:1234/admin?action=shutDownFlashback . Replay the HTTPS recorded Scene: 5 POST http://localhost:1234/admin?action=startFlashback Request Body: {"sceneMode": "playback","sceneName": "httpstest2","matchRule": "matchMethodBodyUri","scenePath": "/tmp","proxyHost": "localhost","proxyPort": "5555","caCertPath":"<Path to your intermediateCA.p12 file>/intermediate.p12","caCertPwd":"secretpassword","caAlias": "HTS","caKeyPwd": "secretpassword","caCertOU": "","caCertO": "","caCertCN": "","caCertL": "","caCertCC": ""} Make sure you system proxy is configures as in . And hit the web service or REST api from your favourite REST client or browser. Congratulations you have done it! 6. Step 2 Additional Configuration parameters for Flashback Admin Server Here is the description and other possible value used for various Flashback REST APIs. You can choose them based on your need. ‘ would be the possibly most used. ’ matchRule sceneMode-> Should be either record or playbacksceneName-> Name of the scene, you can pass any valuematchRule-> Rule to match a request URL while replaying the scene. Possible match rules are matchEntireRequest, matchMethodUri, matchMethodBodyUri, matchMethodUriBodyWithAnyBoundaryscenePath-> Where to store the recorded scene with 'sceneName'proxyHost-> HTTP or HTTPS proxy hostname to startproxyPort-> HTTP or HTTPS proxy port on which proxy should startcaCertPath-> CA certificate path, required only for HTTPS proxycaCertPwd-> CA certificate password, required only for HTTPS proxycaAlias-> CA certificate Alias name, required only for HTTPS proxycaKeyPwd-> CA private key password, required only for HTTPS proxycaCertOU-> optional, required only for HTTPS proxycaCertO-> optional, required only for HTTPS proxycaCertCN-> optional, required only for HTTPS proxycaCertL-> optional, required only for HTTPS proxycaCertCC-> optional, required only for HTTPS proxy Disclaimer: Please note that this article may include few of the content from official Flashback git page to avoid rewriting. If you have any question, please post below. Happing Mocking!

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