// Use this for initialization
void Start()
{
// Set pointlist to results of function Reader with argument inputfile
pointList = LoadEadaData.Read(inputfile);
columnList = new List <string>(pointList[0].Keys);
tags = LoadEadaTag.Read(inputTagFile, columnList);
descriptions = LoadEadaDesc.Read(inputTagFile, columnList);
initColValues();
Plot();
}
// Use this for initialization
void Start()
{
ColHeightMen = cubeSize;
ColHeightWomen = 3 * cubeSize;
ColHeightCoed = 5 * cubeSize;
ColHeightTotal = 7 * cubeSize;
// Set pointlist to results of function Reader with argument inputfile
pointList = LoadEadaData.Read(inputfile);
columnList = new List <string>(pointList[0].Keys);
tags = LoadEadaTag.Read(inputTagFile, columnList);
descriptions = LoadEadaDesc.Read(inputTagFile, columnList);
initColValues();
Plot();
}
// Use this for initialization
void Start()
{
//Origin = new Vector3(spaceScale / 2.0f, spaceScale / 4.0f, spaceScale / 2.0f);
colName = LoadEadaData.ReadHeader(inputfile, COL_NUM);
corColName = LoadEadaData.ReadHeader(corfile, 0);
data = LoadEadaData.ReadData(inputfile, COL_NUM);
listDetails = LoadEadaData.ReadDetails(inputfile, 1);
listClassification = LoadEadaData.ReadDetails(inputfile, 10);
data2015 = LoadEadaData.ReadData(inputfile2015, COL_NUM);
listDetails2015 = LoadEadaData.ReadDetails(inputfile2015, 1);
listClassification2015 = LoadEadaData.ReadDetails(inputfile2015, 10);
listFilterParticipant = LoadEadaData.ReadFilter(mapfile, 7);
listFilterStaff = LoadEadaData.ReadFilter(mapfile, 8);
listFilterRevenue = LoadEadaData.ReadFilter(mapfile, 9);
listFilterMen = LoadEadaData.ReadFilter(mapfile, 10);
listFilterWomen = LoadEadaData.ReadFilter(mapfile, 11);
listFilterCoed = LoadEadaData.ReadFilter(mapfile, 12);
listFilterTotal = LoadEadaData.ReadFilter(mapfile, 13);
for (int i = 0; i < colName.Count; i++)
{
listFilterAll.Add(true);
listFilterNone.Add(false);
}
listFilter = listFilterAll;
normalise();
OriginPt.transform.position = new Vector3(spaceScale / 2.0f, spaceScale / 4.0f, spaceScale / 2.0f);
OldOrigin = new Vector3(spaceScale / 2.0f, spaceScale / 4.0f, spaceScale / 2.0f);
matchAchors();
loadAnchors();
drawPoints(dataNorm, PointsHolder, PointPrefab, listDetails, listClassification);
drawPoints(dataNorm2015, PointsHolder2015, PointPrefab2015, listDetails2015, listClassification2015);
DrawYearLinks();
}
public void LoadFilter(string menuTag)
{
switch (menuTag)
{
case "all":
listFilter = listFilterAll;
break;
case "none":
listFilter = listFilterNone;
break;
case "participant":
listFilter = listFilterParticipant;
break;
case "staff":
listFilter = listFilterStaff;
break;
case "revenue":
listFilter = listFilterRevenue;
break;
case "men":
listFilter = listFilterMen;
break;
case "women":
listFilter = listFilterWomen;
break;
case "coed":
listFilter = listFilterCoed;
break;
case "total":
listFilter = listFilterTotal;
break;
case "2016":
PointsHolder.SetActive(true);
PointsHolder2015.SetActive(false);
break;
case "2015":
PointsHolder.SetActive(false);
PointsHolder2015.SetActive(true);
break;
case "both":
PointsHolder.SetActive(true);
PointsHolder2015.SetActive(true);
break;
// cd1 to cd6 is slow. need to optimise
case "cd1":
data.Clear();
data2015.Clear();
data = LoadEadaData.ReadData(inputfile, COL_NUM, 10, new List <string>()
{
"1"
});
listDetails = LoadEadaData.ReadDetails(inputfile, 1, 10, new List <string>()
{
"1"
});
listClassification = LoadEadaData.ReadDetails(inputfile, 10, 10, new List <string>()
{
"1"
});
data2015 = LoadEadaData.ReadData(inputfile2015, COL_NUM, 10, new List <string>()
{
"1"
});
listDetails2015 = LoadEadaData.ReadDetails(inputfile2015, 1, 10, new List <string>()
{
"1"
});
listClassification2015 = LoadEadaData.ReadDetails(inputfile2015, 10, 10, new List <string>()
{
"1"
});
normalise();
drawPoints(dataNorm, PointsHolder, PointPrefab, listDetails, listClassification);
drawPoints(dataNorm2015, PointsHolder2015, PointPrefab2015, listDetails2015, listClassification2015);
break;
case "cd2":
data.Clear();
data2015.Clear();
data = LoadEadaData.ReadData(inputfile, COL_NUM, 10, new List <string>()
{
"2"
});
listDetails = LoadEadaData.ReadDetails(inputfile, 1, 10, new List <string>()
{
"2"
});
listClassification = LoadEadaData.ReadDetails(inputfile, 10, 10, new List <string>()
{
"2"
});
data2015 = LoadEadaData.ReadData(inputfile2015, COL_NUM, 10, new List <string>()
{
"2"
});
listDetails2015 = LoadEadaData.ReadDetails(inputfile2015, 1, 10, new List <string>()
{
"2"
});
listClassification2015 = LoadEadaData.ReadDetails(inputfile2015, 10, 10, new List <string>()
{
"2"
});
normalise();
drawPoints(dataNorm, PointsHolder, PointPrefab, listDetails, listClassification);
drawPoints(dataNorm2015, PointsHolder2015, PointPrefab2015, listDetails2015, listClassification2015);
break;
case "cd3":
data.Clear();
data2015.Clear();
data = LoadEadaData.ReadData(inputfile, COL_NUM, 10, new List <string>()
{
"3"
});
listDetails = LoadEadaData.ReadDetails(inputfile, 1, 10, new List <string>()
{
"3"
});
listClassification = LoadEadaData.ReadDetails(inputfile, 10, 10, new List <string>()
{
"3"
});
data2015 = LoadEadaData.ReadData(inputfile2015, COL_NUM, 10, new List <string>()
{
"3"
});
listDetails2015 = LoadEadaData.ReadDetails(inputfile2015, 1, 10, new List <string>()
{
"3"
});
listClassification2015 = LoadEadaData.ReadDetails(inputfile2015, 10, 10, new List <string>()
{
"3"
});
normalise();
drawPoints(dataNorm, PointsHolder, PointPrefab, listDetails, listClassification);
drawPoints(dataNorm2015, PointsHolder2015, PointPrefab2015, listDetails2015, listClassification2015);
break;
case "cd4":
data.Clear();
data2015.Clear();
data = LoadEadaData.ReadData(inputfile, COL_NUM, 10, new List <string>()
{
"4"
});
listDetails = LoadEadaData.ReadDetails(inputfile, 1, 10, new List <string>()
{
"4"
});
listClassification = LoadEadaData.ReadDetails(inputfile, 10, 10, new List <string>()
{
"4"
});
data2015 = LoadEadaData.ReadData(inputfile2015, COL_NUM, 10, new List <string>()
{
"4"
});
listDetails2015 = LoadEadaData.ReadDetails(inputfile2015, 1, 10, new List <string>()
{
"4"
});
listClassification2015 = LoadEadaData.ReadDetails(inputfile2015, 10, 10, new List <string>()
{
"4"
});
normalise();
drawPoints(dataNorm, PointsHolder, PointPrefab, listDetails, listClassification);
drawPoints(dataNorm2015, PointsHolder2015, PointPrefab2015, listDetails2015, listClassification2015);
break;
case "cd5":
data.Clear();
data2015.Clear();
data = LoadEadaData.ReadData(inputfile, COL_NUM, 10, new List <string>()
{
"5"
});
listDetails = LoadEadaData.ReadDetails(inputfile, 1, 10, new List <string>()
{
"5"
});
listClassification = LoadEadaData.ReadDetails(inputfile, 10, 10, new List <string>()
{
"5"
});
data2015 = LoadEadaData.ReadData(inputfile2015, COL_NUM, 10, new List <string>()
{
"5"
});
listDetails2015 = LoadEadaData.ReadDetails(inputfile2015, 1, 10, new List <string>()
{
"5"
});
listClassification2015 = LoadEadaData.ReadDetails(inputfile2015, 10, 10, new List <string>()
{
"5"
});
normalise();
drawPoints(dataNorm, PointsHolder, PointPrefab, listDetails, listClassification);
drawPoints(dataNorm2015, PointsHolder2015, PointPrefab2015, listDetails2015, listClassification2015);
break;
case "cd6":
data.Clear();
data2015.Clear();
data = LoadEadaData.ReadData(inputfile, COL_NUM);
listDetails = LoadEadaData.ReadDetails(inputfile, 1);
listClassification = LoadEadaData.ReadDetails(inputfile, 10);
data2015 = LoadEadaData.ReadData(inputfile2015, COL_NUM);
listDetails2015 = LoadEadaData.ReadDetails(inputfile2015, 1);
listClassification2015 = LoadEadaData.ReadDetails(inputfile2015, 10);
normalise();
drawPoints(dataNorm, PointsHolder, PointPrefab, listDetails, listClassification);
drawPoints(dataNorm2015, PointsHolder2015, PointPrefab2015, listDetails2015, listClassification2015);
break;
default:
Debug.Log("should not be here");
break;
}
reloadAnchors();
if (PointsHolder.activeSelf)
{
redrawPoints(dataNorm, PointsHolder);
}
if (PointsHolder2015.activeSelf)
{
redrawPoints(dataNorm2015, PointsHolder2015);
}
DrawYearLinks();
}
public void ReInitPlot()
{
pointList = LoadEadaData.Read(inputfile);
}
