공공부문 SW·ICT장비 수요예보 추이
  • 김항규SW기반정책·인재연구실 선임연구원
날짜2023.07.05
조회수22781
글자크기
  • (단위 : 억 원)
    var chart_54; var chart_type_54 = "stack_column"; jQuery(document).ready(function () { {"data":{"data":[{"구분":"2019년","SW구축":"33056","상용SW구매":"3011","HW(ICT장비)구매":"9194"},{"구분":"2020년","SW구축":"37595","상용SW구매":"3212","HW(ICT장비)구매":"9784"},{"구분":"2021년","SW구축":"43111","상용SW구매":"3652","HW(ICT장비)구매":"10707"},{"구분":"2022년","SW구축":"45998","상용SW구매":"3542","HW(ICT장비)구매":"11053"},{"구분":"2023년","SW구축":"45406","상용SW구매":"3605","HW(ICT장비)구매":"13227"}]},"use":{"animate":true,"aCrossLine":true,"multiYAxis":false},"animate":{"speed":100},"format":{ "yAxis": "priceDataFormat" },"func":{ "tip": function (tipElement, data, rect) { var date = data.xaxis; var tip = '
    '+ String(data.yaxisname) + ' / ' + String(data.yaxis)+'
    '; tipElement.html(tip).show(); tipElement.html(tipElement.html()).css({ left: rect.x - (tipElement.width() / 2), top: rect.y - 38 }); } }} var style = { "main": { "layout": { "paddingTop": 57, "paddingRight": 30, "color": "#ffffff", "line": { "color": "#eaeaea", "width": 1 } }, "graph": { "color": "#fff", "line": { "top": { "color": "#cccccc" }, "left": { "width": 0 }, "right": { "width": 0 }, "bottom": { "color": "#cccccc" } } }, "crossLine": { "color": "#465866" }, "xAxis": { "paddingTop": 13, "height": 30, "text": { "family": "Nanum Gothic", "size": 12, "color": "#666" }, "line": { "color": "#e3e3e3", "width": 1 } }, "yAxis": { "line": { "color": "#cccccc", "width": 1, "opacity": 1 }, "text": { "family": "Nanum Gothic", "size": 12, "color": "#666", "align": "right" }, "baseAtZero": true }, "tip": { "className": "tip" }, "series": { "s1": { "area": { "normal": { "color": "#1d64ac", "over": { "color": { "src": "/lib/webponent/chart/webPonent-Chart-2.0.6/chart/sample/chart/img/over.png" } } } } }, "s2": { "area": { "normal": { "color": "#4abfca", "over": { "color": { "src": "/lib/webponent/chart/webPonent-Chart-2.0.6/chart/sample/chart/img/over.png" } } } } }, "s3": { "area": { "normal": { "color": "#f9d33a", "over": { "color": { "src": "/lib/webponent/chart/webPonent-Chart-2.0.6/chart/sample/chart/img/over.png" } } } } }, "s4": { "area": { "normal": { "color": "#ff8e1f", "over": { "color": { "src": "/lib/webponent/chart/webPonent-Chart-2.0.6/chart/sample/chart/img/over.png" } } } } }, "s5": { "area": { "normal": { "color": "#7badff", "over": { "color": { "src": "/lib/webponent/chart/webPonent-Chart-2.0.6/chart/sample/chart/img/over.png" } } } } }, "s6": { "area": { "normal": { "color": "#6763ff", "over": { "color": { "src": "/lib/webponent/chart/webPonent-Chart-2.0.6/chart/sample/chart/img/over.png" } } } } }, "s7": { "area": { "normal": { "color": "#ff6e6e", "over": { "color": { "src": "/lib/webponent/chart/webPonent-Chart-2.0.6/chart/sample/chart/img/over.png" } } } } }, "s8": { "area": { "normal": { "color": "#c5c5c5", "over": { "color": { "src": "/lib/webponent/chart/webPonent-Chart-2.0.6/chart/sample/chart/img/over.png" } } } } }, } } }; var data_54 = data; var style_54 = style; var series_54 = series; if(color_style_54 == undefined){ var color_style_54 = []; } if(slider_54 == undefined ){ var slider_54 =true; } if (chart_type_54 == "pie") { chart_54 = webponent.visual.pie.init(jQuery('#webponent_chart_54'), style_54, data_54); jQuery("#chart_controller").remove(); } else if (chart_type_54 == "tree") { chart_54 = webponent.visual.treemap.init(jQuery('#webponent_chart_54'), style_54, data_54); jQuery("#chart_controller").remove(); } else if (chart_type_54 == "horizon") { chart_54 = webponent.visual.horizon.init(jQuery('#webponent_chart_54'), style_54, data_54); jQuery("#chart_controller").remove(); } else if (chart_type_54 == "scatter") { chart_54 = webponent.visual.scatterPlot.init(jQuery('#webponent_chart_54'), style_54, data_54); jQuery("#chart_controller").remove(); } else { if(chart_type_54 != "hloc"){ var count =0; jQuery.each(series_54.main, function (index, value) { if (index != "type") { if(chart_type_54 == "line"){ legend_count = count %5; jQuery("#chart_legends_54").append(legend_style[legend_count][0]+legend_color[count] +legend_style[legend_count][1]+ value.yaxis +'
  • '); }else if(chart_type_54 =="multi_series"){ if(value.series=="line"){ legend_count = count %5; jQuery("#chart_legends_54").append(legend_style[legend_count][0]+legend_color[count] +legend_style[legend_count][1]+ value.yaxis +''); }else{ jQuery("#chart_legends_54").append('
  • ' + value.yaxis + '
  • '); } }else{ if(color_style_54.length){ jQuery("#chart_legends_54").append('
  • ' + value.yaxis + '
  • '); }else{ jQuery("#chart_legends_54").append('
  • ' + value.yaxis + '
  • '); } } } count++; }); } chart_54= webponent.chart.init(jQuery('#webponent_chart_54'), data_54, style_54, series_54); if(slider_54){ if(chart_type_54=="line"||chart_type_54=="column"){ var tmp_x=[]; jQuery("#slider_div_54").attr("style",""); jQuery.each(data_54.data.data,function (index,value){ tmp_x.push(value[Object.keys(value)[0]]); }); jQuery("#slider-range_54").slider({ range: true, min: 0, max: tmp_x.length-1, values: [ 0, tmp_x.length-1 ], slide: function( event, ui ) { jQuery( "#slider-text_54" ).text( "범위 : " + tmp_x[ui.values[ 0 ]] + " - " + tmp_x[ui.values[ 1 ]] ); var tmp_data = JSON.parse(JSON.stringify(data_54)); //object 참조 복사 회피 tmp_data.data.data = tmp_data.data.data.splice(ui.values[ 0 ],ui.values[ 1 ]+1-ui.values[0]); chart_54.inquery( tmp_data,style_54, series_54); } }); jQuery("#slider-text_54").text( "범위 : "+tmp_x[0] + " - " + tmp_x[tmp_x.length-1]); } } } })
  • 공공부문SW.ICT장비 수요예보추이
    구분 2019년 2020년 2021년 2022년 2023년
    var table_70= jQuery("#grid_table_70"); var tmp_template_70 = jQuery("#grid_template_70").html(); if(tmp_template_70.split("/*").length>1){ tmp_template_70 =tmp_template_70.substring(13,tmp_template_70.length-7); } jQuery("#grid_template_70").html(tmp_template_70); var template_70 =jQuery("#grid_template_70"); var data_70 =[{"s0":"SW구축","s1":"33,056","s2":"37,595","s3":"43,111","s4":"45,998","s5":"45,406"},{"s0":"상용SW구매","s1":"3,011","s2":"3,212","s3":"3,652","s4":"3,542","s5":"3,605"},{"s0":"HW(ICT장비)구매","s1":"9,194","s2":"9,784","s3":"10,707","s4":"11,053","s5":"13,227"}]; var grid_70; jQuery(document).ready(function () { jQuery.each(data_70 , function(idx,value){ var tmp_object = value; var objectKey = Object.keys(value); jQuery.each(objectKey,function(idx2,value2){ if(jQuery.isNumeric(value[idx2])){ tmp_object[value2]=parseFloat(value[idx2]).toLocaleString(); } }); }); if(1 == 1){ var grid_sortable = true; }else{ var grid_sortable = false; }; grid_70 = webponent.grid.init(table_70,template_70, {sortable:grid_sortable}); var collapseKeys_70 = Object.keys(data_70[0]); grid_70.event.on('dataRendered', function () { var dataList = grid_70.data; var renderingStartRowIndex = grid_70.settings.defferedRendering.renderingStartRowIndex; var renderingEndRowIndex = grid_70.settings.defferedRendering.renderingEndRowIndex; if (renderingStartRowIndex === null) { renderingStartRowIndex = 0; } if (renderingEndRowIndex === null) { renderingEndRowIndex = grid_70.data.length; } else { renderingEndRowIndex ++; } var prevTdMap = {}; var prevDataMap = {}; var prevRowspanMap = {}; for (var i = renderingStartRowIndex; i < renderingEndRowIndex; i ++) { var data = dataList[i]; _.each(collapseKeys_70 , function (collapseKey) { var row = jQuery(grid_70.rows[i]); var td = row.find('[data-name=' + collapseKey + ']'); var prevTd = prevTdMap[collapseKey]; if (!prevTd) { td.attr('rowspan', '1'); td.addClass('CI-GRID-BORDER-RIGHT'); prevTdMap[collapseKey] = td; prevDataMap[collapseKey] = data[collapseKey]; prevRowspanMap[collapseKey] = 1; } else { if (!jQuery.isNumeric(data[collapseKey])&&prevDataMap[collapseKey] === data[collapseKey]) { prevTdMap[collapseKey].attr('rowspan', prevRowspanMap[collapseKey] + 1); prevRowspanMap[collapseKey] ++; td.remove(); } else { td.attr('rowspan', '1'); td.addClass('CI-GRID-BORDER-RIGHT'); prevTdMap[collapseKey] = td; prevDataMap[collapseKey] = data[collapseKey]; prevRowspanMap[collapseKey] = 1; } } }); } }); grid_70.appendRow(data_70); grid_70.setGridHeight(0); //var header_caption_70 = grid_70.markup.main.header.table.createCaption(); //header_caption_70.innerHTML = "공공부문 SW·ICT 장비 수요예보 추이"; //header_caption_70.className += " blind"; var header_td_70 = grid_70.markup.main.header.table; //console.log($(header_td_70).html()); $(header_td_70).find('.CI-GRID-SORTER').attr('title', '이 컬럼을 소트하려면 클릭 또는 엔터키를 눌러 주세요.\(쉬프트키를 누르면서 클릭 또는 엔터키를 눌러 주시면 멀티소팅이 됩니다.\) '); $('.CI-GRID-FOCUS-ESCAPER').remove(); });
    • 자료) NIPA 공공부문 SW·ICT장비 수요예보(확정)(2023.3)
      • 주1) 기타 항목에는 DBMS, 미들웨어 등이 포함